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  "name": ""
 },
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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Original `matplotlib` code"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\"\"\"\n",
      "Example of creating a radar chart (a.k.a. a spider or star chart) [1]_.\n",
      "\n",
      "Although this example allows a frame of either 'circle' or 'polygon', polygon\n",
      "frames don't have proper gridlines (the lines are circles instead of polygons).\n",
      "It's possible to get a polygon grid by setting GRIDLINE_INTERPOLATION_STEPS in\n",
      "matplotlib.axis to the desired number of vertices, but the orientation of the\n",
      "polygon is not aligned with the radial axes.\n",
      "\n",
      ".. [1] http://en.wikipedia.org/wiki/Radar_chart\n",
      "\"\"\"\n",
      "import numpy as np\n",
      "\n",
      "import matplotlib.pyplot as plt\n",
      "from matplotlib.path import Path\n",
      "from matplotlib.spines import Spine\n",
      "from matplotlib.projections.polar import PolarAxes\n",
      "from matplotlib.projections import register_projection\n",
      "\n",
      "\n",
      "def radar_factory(num_vars, frame='circle'):\n",
      "    \"\"\"Create a radar chart with `num_vars` axes.\n",
      "\n",
      "    This function creates a RadarAxes projection and registers it.\n",
      "\n",
      "    Parameters\n",
      "    ----------\n",
      "    num_vars : int\n",
      "        Number of variables for radar chart.\n",
      "    frame : {'circle' | 'polygon'}\n",
      "        Shape of frame surrounding axes.\n",
      "\n",
      "    \"\"\"\n",
      "    # calculate evenly-spaced axis angles\n",
      "    theta = 2*np.pi * np.linspace(0, 1-1./num_vars, num_vars)\n",
      "    # rotate theta such that the first axis is at the top\n",
      "    theta += np.pi/2\n",
      "\n",
      "    def draw_poly_patch(self):\n",
      "        verts = unit_poly_verts(theta)\n",
      "        return plt.Polygon(verts, closed=True, edgecolor='k')\n",
      "\n",
      "    def draw_circle_patch(self):\n",
      "        # unit circle centered on (0.5, 0.5)\n",
      "        return plt.Circle((0.5, 0.5), 0.5)\n",
      "\n",
      "    patch_dict = {'polygon': draw_poly_patch, 'circle': draw_circle_patch}\n",
      "    if frame not in patch_dict:\n",
      "        raise ValueError('unknown value for `frame`: %s' % frame)\n",
      "\n",
      "    class RadarAxes(PolarAxes):\n",
      "\n",
      "        name = 'radar'\n",
      "        # use 1 line segment to connect specified points\n",
      "        RESOLUTION = 1\n",
      "        # define draw_frame method\n",
      "        draw_patch = patch_dict[frame]\n",
      "\n",
      "        def fill(self, *args, **kwargs):\n",
      "            \"\"\"Override fill so that line is closed by default\"\"\"\n",
      "            closed = kwargs.pop('closed', True)\n",
      "            return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)\n",
      "\n",
      "        def plot(self, *args, **kwargs):\n",
      "            \"\"\"Override plot so that line is closed by default\"\"\"\n",
      "            lines = super(RadarAxes, self).plot(*args, **kwargs)\n",
      "            for line in lines:\n",
      "                self._close_line(line)\n",
      "\n",
      "        def _close_line(self, line):\n",
      "            x, y = line.get_data()\n",
      "            # FIXME: markers at x[0], y[0] get doubled-up\n",
      "            if x[0] != x[-1]:\n",
      "                x = np.concatenate((x, [x[0]]))\n",
      "                y = np.concatenate((y, [y[0]]))\n",
      "                line.set_data(x, y)\n",
      "\n",
      "        def set_varlabels(self, labels):\n",
      "            self.set_thetagrids(theta * 180/np.pi, labels)\n",
      "\n",
      "        def _gen_axes_patch(self):\n",
      "            return self.draw_patch()\n",
      "\n",
      "        def _gen_axes_spines(self):\n",
      "            if frame == 'circle':\n",
      "                return PolarAxes._gen_axes_spines(self)\n",
      "            # The following is a hack to get the spines (i.e. the axes frame)\n",
      "            # to draw correctly for a polygon frame.\n",
      "\n",
      "            # spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.\n",
      "            spine_type = 'circle'\n",
      "            verts = unit_poly_verts(theta)\n",
      "            # close off polygon by repeating first vertex\n",
      "            verts.append(verts[0])\n",
      "            path = Path(verts)\n",
      "\n",
      "            spine = Spine(self, spine_type, path)\n",
      "            spine.set_transform(self.transAxes)\n",
      "            return {'polar': spine}\n",
      "\n",
      "    register_projection(RadarAxes)\n",
      "    return theta\n",
      "\n",
      "\n",
      "def unit_poly_verts(theta):\n",
      "    \"\"\"Return vertices of polygon for subplot axes.\n",
      "\n",
      "    This polygon is circumscribed by a unit circle centered at (0.5, 0.5)\n",
      "    \"\"\"\n",
      "    x0, y0, r = [0.5] * 3\n",
      "    verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]\n",
      "    return verts\n",
      "\n",
      "\n",
      "def example_data():\n",
      "    #The following data is from the Denver Aerosol Sources and Health study.\n",
      "    #See  doi:10.1016/j.atmosenv.2008.12.017\n",
      "    #\n",
      "    #The data are pollution source profile estimates for five modeled pollution\n",
      "    #sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical species.\n",
      "    #The radar charts are experimented with here to see if we can nicely\n",
      "    #visualize how the modeled source profiles change across four scenarios:\n",
      "    #  1) No gas-phase species present, just seven particulate counts on\n",
      "    #     Sulfate\n",
      "    #     Nitrate\n",
      "    #     Elemental Carbon (EC)\n",
      "    #     Organic Carbon fraction 1 (OC)\n",
      "    #     Organic Carbon fraction 2 (OC2)\n",
      "    #     Organic Carbon fraction 3 (OC3)\n",
      "    #     Pyrolized Organic Carbon (OP)\n",
      "    #  2)Inclusion of gas-phase specie carbon monoxide (CO)\n",
      "    #  3)Inclusion of gas-phase specie ozone (O3).\n",
      "    #  4)Inclusion of both gas-phase speciesis present...\n",
      "    data = {\n",
      "        'column names':\n",
      "            ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO',\n",
      "             'O3'],\n",
      "        'Basecase':\n",
      "            [[0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00],\n",
      "             [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00],\n",
      "             [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00],\n",
      "             [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00],\n",
      "             [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]],\n",
      "        'With CO':\n",
      "            [[0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00],\n",
      "             [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00],\n",
      "             [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00],\n",
      "             [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00],\n",
      "             [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]],\n",
      "        'With O3':\n",
      "            [[0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03],\n",
      "             [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00],\n",
      "             [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00],\n",
      "             [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95],\n",
      "             [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]],\n",
      "        'CO & O3':\n",
      "            [[0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01],\n",
      "             [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00],\n",
      "             [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00],\n",
      "             [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88],\n",
      "             [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]]}\n",
      "    return data\n",
      "\n",
      "\n",
      "if __name__ == '__main__':\n",
      "    N = 9\n",
      "    theta = radar_factory(N, frame='polygon')\n",
      "\n",
      "    data = example_data()\n",
      "    spoke_labels = data.pop('column names')\n",
      "\n",
      "    fig = plt.figure(figsize=(9, 9))\n",
      "    fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)\n",
      "\n",
      "    colors = ['b', 'r', 'g', 'm', 'y']\n",
      "    # Plot the four cases from the example data on separate axes\n",
      "    for n, title in enumerate(data.keys()):\n",
      "        ax = fig.add_subplot(2, 2, n+1, projection='radar')\n",
      "        plt.rgrids([0.2, 0.4, 0.6, 0.8])\n",
      "        ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),\n",
      "                     horizontalalignment='center', verticalalignment='center')\n",
      "        for d, color in zip(data[title], colors):\n",
      "            ax.plot(theta, d, color=color)\n",
      "            ax.fill(theta, d, facecolor=color, alpha=0.25)\n",
      "        ax.set_varlabels(spoke_labels)\n",
      "\n",
      "    # add legend relative to top-left plot\n",
      "    plt.subplot(2, 2, 1)\n",
      "    labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')\n",
      "    legend = plt.legend(labels, loc=(0.9, .95), labelspacing=0.1)\n",
      "    plt.setp(legend.get_texts(), fontsize='small')\n",
      "\n",
      "    plt.figtext(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios',\n",
      "                ha='center', color='black', weight='bold', size='large')\n",
      "    plt.show()\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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hoaG4desWsrKy8Pnnn6NWrVrir6CPSU9PR/v27VG/fn00bdoUFSpUwN9//w0A6NKlCwDg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bUioUjuqEbASQI/czZ0eedwPyEcupbTUCYUIab8CZbG7cVHUT8ijVWE2UGTkPLZWfw5bSs+9B2P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\nViq/0s8RMICdnbVO1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mPI5fqJmDYyMuL++29DIBBgbn7lD23mzCndyqx//vnebsZJZuaF\nbseiVVX13W7ev/xyBrH4SuGnTz75quu1QCDg5Zcf6valfPDBObr9YDpg/fqvkUrVCzjVBmtrD8aM\neYvo6Fe5dOkzjh8fg1icho+PduWfDe0YdaSiC23p5Gpt0bQqgqvrNCIjDyMS/Y+LF7epPS8gYDTT\np+uvGZ26dGqLOpiYGHeLyZo1K6YrZgxgzpxp3YwPe3sbtW7qxsbm3HVXHMXFn2qwc90il8sH5Z4Z\nCIFAgPcCb+JOxxG2OwzZZRlFfy7i7rF3M+WpKVz67yWORxzn8s+9ewPUwRC1xWCMEdDetyuVSvn+\n++/ZunUrRUVFREQMXfCmVCpl/fr1ao93cIjAxCSc8vIDetxVT6ysLLoFmy1ffidublcaO7W0SLod\nBScnZ3bzAXt7u3Uzbp599g/D0kNmMDz33H1DUjPBxyeWO+7YjK3tLBSKF3nvvWgaGy9qvI6hpd6N\nZAarLZ10aotSqeTtt9/WeD0npwmMG3ec5uYDnD+/UWODpqCgVONrXm+MGnUrItFOnRQh1Ibdu3dT\nUVEx8EAd4Bbv1pEWfGIcAqGA5nXN+IX6YRZhRs6iHFZPWk3jxUaN1zVEbbkujBG5XE5wcDBLly7F\n19dX9xvrB1NTU+69916N5nh6PkNj4w8DD9SQ8vKqbn5XTYiJicTG5orbaf78BOztr+TuBwZ6aXwj\nP306W68nEeqgUqn6TH/WJxKJFFfXuUREfMHo0bakpo7l3LkVyGTqlxU3xKeXkcpgteVahEIhf/nL\nX7Tai719CJMmJdHWlkR+/kca3VSrquqHpULrYLRF1zg7TyQ7u4WyssPDcv1FixZp1FtqsGzcuBGr\nEKuOtODsyZj7mtP6Qysmfia4tLiQOi6Vcy+eQ9aivtYaoraMWGMkJyeH3NyOMuKWlpYEBwcjFAr1\n3v69NzTtf+DjsxhopK5ON0F1ndTXiw0ibbYTGxtLGhqGt9HfwYPJw/I0+dNPSdTXN2Jqas2cOf9H\nQMA6xOLjbNgwmqSkD9W6ARmiYIxUBqstvTGYWAFrax8mT05CJjtPbu4/1a4/NG3auG6xGEOFIWmL\nQCDA0XES2dn/GXiwjpBIJAPWEdEXCxYs6IrtsPaxZuLGicQWxWJ3ix3+Vf4IbAU0bGxgg9cGkj5M\nGrHaMmKNEaDP8r8nT56kvr6+1/f0yfnz59WqCCsUGuPgsIzKyt06vX5UVFCvQV/DRViYH66uQ9sS\n/VpuvTWWiIihLxN9110z8PC4UgvA1taHyMh3iYn5I8XF75GYOJHq6pN9zq+trUUikeDl5TUU273u\n0ZW29Ia2VaAtLd2Ijk5CqawnJ+dvahfQ62Tv3mNDdvJoaNoydeoDWFgcRqEYmlPPtLQ0jRMWdIWL\ni0uP/zMfZc7Yd8YyrXwars+5IrAW4N/gT/ELxSROTKQ6qfdqsGC42mJQxoivry8ikYiGhoYe7ykU\nCvbs2dP1Ojw8vM+iN6Ghob2uoW+Cg4O555571BobEPBHZLLTtLdr7u+7Qf8oFIphr17ZF4GBNzN9\n+jrAjLS0m1i7tvdA38zMTCIiIoblpO96RFfa0hsTJkzQOr3TzMyemJjjCARCsrNfQS5Xv1bHuHEh\nBpPyO9TY2voArpSWfj0k15s6dSqenp5Dcq1OTpw4MeAYY0tjwl8JJ740npBPQ/AI8kCRpiBtahpr\n4tbQWtEzFdhQtcWgjBGhUEhERARZWT3LJ6tUKrWfVhwdHfXS1VcdOjNsWltb+z0us7b2wtw8jrKy\nwfWr6eTquh6GRFNTK3v3HhvSa2ZmXkAmGx6R3rLl+67AX5VKRVNTGeXlBzl//hMyM18mPf1e8vLu\nQ6USY2//B4KCei9Hn5mZSVRU1FBu/bpGV9rSG50uYm0xMbEiNvZnjI1dycl5EalUPdemt7dbV1C6\nPvvFGKq2CIVT+fLLd/W2/vHjx0lOTtbb+v2hVCppbVW/pojQWEjgo4HE58fjv8sfy0mW2Cbaciro\nFJl/y0TRfkUPDVVbDMoYge4tvwsLCzl3riO/3tjYWOPiZS0tLcPWTrq4uLhbFH5veHs/R0vLTzqJ\nCp861fD+uKAjbmTs2N597vpi3LgQgoP1m9p9LXJ5G3V1WYwbJ6K09F9kZDxNevo8Cgufp7HxGCYm\nznh4PE5U1CESEpqJj88mOnond9zxetcaR44c6XIvGmK0+0hHl9rSG1lZWVr1HwIwMjIlJmYf5ubh\n5Ob+mbY2zU52t279Xm+BrYaqLcHB8/Hzy6etTT+fe9y4ccTExOhl7YEQCoVadZMXCAR43+1N3Jk4\n5h6Zi2msKbVv1fIvr39x7rOOv3dD1RbDKo1Jd9+uTCYjNDRU67VkMhk/oa9R5gAAIABJREFU/fST\nxtkuuiA8PJzw8PB+x3h43MaFC2ZUVZ3EzU29hm194eurft+Loebq+gL6Ije3iOrqehIS9F+PQSKp\nRyTKoaWlgPb2IuTyElSqSoRCD8zMwrG2noid3eOMGhWNpaX6v5eoqChaW1txdHQkMzOTZcuW6e9D\n/A7Rpbb0hkAgoKCgQOt1hUJjpkz5itTUR8nPf47AwPewslKvkeeyZXdqdU11MFRtMTOzZ/ToKIqK\nNhMW9qJO1qyqqsLMzAx7e/th6QSsVCqpra3tNU5EU9ymu+E23Y36jHpkf5Fx/vHzNH/WzLmmcwap\nLQLVcCVr98Hp06dZsGABP/74o0EeJWlDXl4eLS0tTJzY80aZk7OK2trviIx8R+v1VSqVwfn/rkXf\nexSJmrC1tdJpTx6VSolYXIJYnEtr6wWk0mIUihKgDSOjQCwsorCxmYC9/URSU+uZM2eBTq67b98+\nHnzwQYqLi7Gzsxt4wg3UYqRoi0qlIj39JRoathEQ8C42Npqd8p04cY5RoxwICdGu2N61ezFkbSkv\n/4n6+gMkJKTrZL09e/Ywc+ZMrK2HJ3MoKSkJc3Nzxo/XfS+v5uJmPn38U9488SalFaUGpy0G07W3\nE09PTzw9PVm8eDFhYWE6q52vVCqH7Uvl6OhIS0sLTk5OPd6ztY2ktPR1rK2nY2qquSUuFjezefM+\nJk3q/xRmuHn//S+YOnVwTQqvRSJpp6VFgrm5GebmZoNaWy5vpa4ui6qqY1y+vJfLl7dRWbmexsbj\nyOXtWFgE4+JyF/7+/0do6Bp8fZ/C0/NuRo2KxcJiNCJRE6NHjx7U51GpVHzwwQe88cYb7Nu3b9ji\nnq5X9KUt19L5dKtNY0ToOGFxc5tNS4uE8vJ/YG4+HnPzntrRF56ezqhUKqysBteSYSRoi5WVN++/\n/zHx8YuwsNAu5Vkul3c9xISGhg5riXQvLy/c3XV/kqxSqfj4vx+zZu8avj/wvUFqi05jRsrLy5k/\nfz7BwcEEBgby/PPPI5N1pJ6dPn2a+Ph4QkNDmTBhAo899hgSiYS8vDxiY2MxNzfngw8+AGDx4sV8\n//33PPnkk7z//vs6ial4++23h61in1Ao7KpVoFKpuqUdm5nZY2U1j0uXNOtX0YmtrTWPPXaXTvap\nT1544QGdG4NHj6Z0K2GvLq2tVVRUHKWg4FOysl4nPf0BsrLu4vLlfyOTXcbO7iYCAtYQG1vK9OlV\n3HTTMcaP/xf+/g9hbx/a43MYGRkRHR09qM8ilUp59NFH2bZtG0lJSb2u19f36+jRo9jZ2TF+/HjC\nw8P5xz/+Mai9GCKGrC3XolAo+PZb7b7PVxMR8Vfc3f9KcfHL1NX1DLztCyMjI1xcOlLqm5paOXVK\n/blXMxK0xcjIlGXL4ikp0a48vEKh4N133x22e0MnUqn+UpRHirbozE2jUqmIjo7mmWee4aGHHkKp\nVPL444/j6OjIihUriI6OZufOnV0/iF27dhEXF4dAIKCkpITvvvsOBwcHVqxY0bVmWVkZ8+bNY+LE\niaxfv35QFquhHDe2t7ezefNmnnjiia7/q6k5TVbWbURF7UQo1H+58pGMJr9HpVKOWFxIY2MeEskF\npNJSlMpiQImxcfBvbpbxODpOwdFxHEZGZhrtpaWlhaqqqkFXY6yrq2PhwoXY2dmxffv2Xo+I+/t+\nzZkzh/fff599+/bR2trKuHHj2Llzp16OeocDQ9cWfXPx4mZKS5/Hw+N1XFymaDRXpVJx6lQWMTGG\nF7CoK6qrU7l8+SMSEkrV1gZDuR90snLlSl599VWduplhZGmLzgJYf/nlFywsLHjooYeAjtOADz/8\nED8/PwQCAcuWLetmkS1cuLDr387Ozuzfv7/Hml5eXiQmJrJkyRJmz57Nrl27enV1qIOh/OGZmZl1\nM0SUSiXOzlMwMvLh0qVDeHndofZajY3NmJqaYGGh2U10uKira8TGxnJQ/WHWrNnOc88txsSk+5+u\nVNqESJRLU1MB7e2FyGQlqFTlCAROmJiEYWU1Fje3xTg5RWNj46+Tv4ezZ88SFBQ0qDXy8vKYO3cu\nCxcuZOXKlX32VOrv+zVjxoyucZaWlkycOJGLFy9eN8aIoWtLf4hEIuzs7Ab19xYQsAwTExsuXlyO\nXP4CHh7T1Z4rEAi6GSKJiecYOza4W+uH3hhJ2uLsPIG8PCllZYfw9p494Pjjx48jlUqZOXPmEOxO\nPV5//fWBB2nISNMWnZlh2dnZPQI0bWxs8Pb25sKFC70Gb6qDtbU13377LTExMURHR3eVadaW5ORk\nDh8enp4GvbFp0yYqKipwd3+KhoaeotkfP/98elj6rmhLcXEFublFg1rjhRceoL29kkuXDnP+/Hoy\nM18hPf0+cnIWUVX1OQpFAw4OMwkOXs/UqZVMn36Jm246zLhxH+Dndz+2tgE6M0zj4uJwc1Mv26E3\nDh48SHx8PG+88QbvvPNOv80dB/p+dVJXV0dycrJOUlUNhZGiLb2Rn59PUlLSoNfx9l5IcPDXVFd/\nSFmZ9n2t/P09aW4euH7FSNIWgUBAXV0kR49+2OeYq2t2xMXFGYQholAo9OaeGYnaorOTkb4EvtML\nNBhvkFAoZPXq1YSGhpKQkMC2bduYPXtgC7g3YmJi9Oqf05THH38cAIXiIcrKXqGhIR8HB/UC6+6+\n+2Z9bk3nTJwYptF4hULK2bOJpKaeJiHBCJmsBKWyBIHAGCOjECwtx+LouBxHxyk4OEQOmYurqKgI\nPz+/Qa2xbt063nrrrS6XwkAMZEAdP36cCRMmIBQKee211wgL0+xnbciMFG3pjcHGEl2Np+etmJgc\nICdnHgpFK76+CweedA1XtyiQSNrZuvV7nnii5zojTVtmzlxKYeFzKBTtPdytCoWCf//736xYscJg\nTsgBvv32W8aPHz+ognu9MVK1RWfGSHh4ON988023/xOLxZSVlTF79mxSU1O5887B5cIvW7aMgIAA\nFi1axBtvvMGzzz6r1TqG6B82MjKjpWUen322jhUr/jXc2xly2ttFNDTk0tycT1tbIQpFKSrVZUxM\nXJk+fQxWVlHY2S3HyWkK1tZDW9DsauRyOYmJiVobI3K5nD/96U8cOXKEkydPqh1v0tf3q7S0lMDA\nQOLi4ti3b59WezJ0RpK29EdNTQ3Ozs4DD+wHF5ebMDL6mczMW7l4sZWAgKVar2VhYcbSpVfaEcjl\nCoyN+36CNmRsbX0QCNwpLf0aP78lnDp1CgcHB4KDgzEyMuLFF3VTh0SXLFq0SKfrjXRt0ZmbZubM\nmbS2tvLFF18AHdboihUrWL58OStWrGDLli2cPn26a/y3335LdfWVZj7qPt3ExcVx8uRJ1q9fzzPP\nPINcrl63y95Ys2aNRiV39U1Cwv8xc2YhUmkz0BFj0RfaRsgPNwqFgqNHf6G8/Cfy8z8hM/NFzp1b\nRG7u/dTU7EClkrJnjy1eXuuZNq2OGTNKiY39gaioVfj43DOshgh0VOtculS7G4BIJOKOO+7g4sWL\nJCUlaRT42t/3a7gaeA0VI1FbemPfvn20tLQMeh0np/GMG3ec5uYfOH9+w6BOhjrLyQNkZV3g4MGk\nEastJibTOHhwLdARK6TrEwddUVur+4qx14O26LToWXl5OU8//TR5eXkolcquSFwTExOSk5N5+eWX\nqa6uRigUkpCQwJo1a2hsbGTy5MmIxWKEQiE2Njbk5OQMWHSmsbGRxYsXo1Ao+Oqrr7C3t9d4v1Kp\n1OBOSU6cmI6FRSh+fov56ackQkJ8eq2A+PPPp5k5U7PI+uFAqZTT0JCHSHQWiSQHuTyfM2fkTJ06\nFkvLcdjaTsDCIhK53BkfH9/h3m6flJaW4uzsjIWFdrUbLly4wLx585g1axZr1qzp6mGkCX19v06e\nPMkHH3zA3r17tdrbSGCkactQ0NxcQmrqDExMxhAa+oLOXBCd2rJ79xHCw/11UjxN36Sm5lJXV0VJ\nySqee+4S5uba1RzRN5mZmdTV1TF9+nSdrXm9aIvBVWDVBLlczooVKzh48CD79u0blCVsKKlepaW7\nKCx8gaiozd32I5XK2LbtAA8/PH8Ydzcwcnkb9fXpNDaeo60tD4XiPAKBExYWU3BwmI6Lyy3Y2YV0\n+2zJyck4OzsbZCGeTr7++msWLFigUTfXTo4dO8a9997L3/72N5566ik97O4GukaX2tIbiYmJTJs2\nbdDrSCTVnDkzHSMjd0JDX0Mo1G2HD6VS2ZVuunXrfubNi8PBwVan19CG8vIqjh5NZcmS7tmHmZmv\n4Oy8SGfl4Q2d60lbRrQx0smGDRt488032blzJwkJCRrPVygUrFy5kr/+9a962J1mqFRKjh3zwt39\nz7i4TOr2XkODuEsImpslCIWCbsesw0F7eyN1dWdpakqnrS0PlaoYodAXK6tYHB2n4+Y2q0d/lkuX\nLrF///6u4N3rmc8++4xXX32V7du3a9X46gbDy2C1pS9+/vlnZsyYoZO6Eu3tIk6fvgUwJTz873oL\n5G5rk2JkJOxKq//ooy95/PG79aJBKpWK6uoGXF07irc1NjazffsPPP10/3EW5eUHaWg4QHz8OZ3v\nSVuUSiVJSUncdNPg+o9dy/WmLQbXtVcbnnzySbZt28Yf/vAHPvvsM43nGxkZ8cYbb+hhZ5ojEAhx\ncnqE6uo9Pd5zcLClvr6RQ4dO0dzcyi+/nOl6T58txK+mtbWKsrL95OauJj19Gbm5i6mv34eZmTf+\n/iuZOrWShIQ8Jk36HH//h7C09ECpVLJhwxXftqenJ9bW1sNe9XAgysrKOH/+vFZzFQoFL730EqtW\nreLXX3+9LsTi98hgtaUvZs6cqbMCV2Zm9sTG/opQaEx29svI5RKt1unUlr4wNzftVt/nT3+6r6sO\niUql4r33tnZ1Le58fXXG09Vrq1QqfvzxZNdrhULBO+9s6Xotk8k5dCi567WdnfWAhgiAu/t0Dh7M\np6FB92na2lJbW6vTXjfXq7ZcFycjneTn5zN37lwWLFjA6tWr+82t7gulUklLS8uwdGzsRCKpJjnZ\nn5CQzT36LYhETcjlCkaN6u7HTk7OpK1NyvTpHfniuoiMV6lUiMVF1Nen0tqajVyej0rVjKnpeGxs\n4hg1agaurnG9Vi79/vvviY+Px9a24ySnqqoKV1fXrvcLCwvx8vLSyu0xVCQnJzNu3DjMzTV78mtq\nauKBBx6gqamJb775Ri/FtG4wtOhCW3qjsx+RLtJOFQopp0/Pp729mLCwdzA11cyd0pe2aL8fRdfP\nSaVSkZqa29XnpqMZ4HnGjg3WuXv80KG/4uc3gcmT1+p0XUPgetaW68oYAaivr+eee+7B2tqa7du3\na2xUNDc3s2PHDh577DE97VA9kpPvQii0JChIu30cPnwaR0dbJkzoaGeem1uEm5tTv/7ezmDThoZU\nJJJcFIp8BAJjzMwmYWcXj7PzTEaNmoRA0POJbvPmzdxyyy1dzeIKCgrw9/fXmWiPFEpKSrjzzjuZ\nMmUK69atM7gA6Rtoz2C1pS+am5t19uSsVMo5c+Z+JJJUgoPfw8LCUSfrjiSqq89y+fIaEhLKhi0O\nsKysjF9++aWrqqkuuN615bozRgBkMhnPPPMMp06dYu/evfj4GH40+LVUVh4jN3cRUVFf6iQoLS+v\nGDs7a9zdO05avvnmMBERvjg61iESnePw4WQCAipxc3PGwmIKOTluTJ58D2PGJCAQCNi2bRvR0dFd\n5c+3bt3KtGnTulLIZDKZQZ9yqEtiYiLGxsbExMRoPDc5OZm7776bl156ieeff94gAqJvoFv0rS0i\nkWjQ2TsqlYqzZ5+gqekHAgPfw8pK+yrBIxGVSkVGxv2EhGzH3X14ircpFAoEAoHOXHG/B225Lo0R\n6PiDXLt2Le+++y67du0iNjZW4zUaGhrIycnReeCRuvz6axiOjvfg6dlRunjduq94+OH5WveL6Ag2\nTUUsTqe9PR+VqhgjIz8sLWMwM4vB03MWjo4dxkV1dTXW1tZ6zTPPzMyksLCQ+fMNJ0OoqalJqyfe\nL7/8kueff57PP/+cOXPmDDzhBiMWXWhLX3z88cc89dRTWqVnXk3HDfll6uu34u//Hra2/dfnGay2\nGBoHDqyioqKNl146NmTXVCgUlJSUDLpx5rX8XrTlujVGOtm/fz/Lly/nww8/5IEHHtBorkql4syZ\nM0yZMjz1PPLy1lJdvZnIyI6eC1KpTKMmcy0tldTVpdLcnIFMlo9KVYWxcTjW1jfh5DQDN7ebMTW1\n09f2B0SlUiGTyYb9uFGpVCKRSLCystJq7ptvvskXX3zB3r17iYy8fruj3qA7g9GWoSIr621qaj7E\n13cV9vbBfY7TVFsMncbGEs6f/yMzZ9Zo3I1bW9LS0jAxMSEiIkIn6/3etOW6N0YAsrKymDdvHkuW\nLOHvf/+71kdnQ12LRCZrITHRA3//f2Fr2/9xcPdg06zfgk1buoJNnZ1vxsVl2pB9MUcSe/bsISws\njODgvsW6N1pbW1m2bBnl5eV89913uLi46GmHNzBUdKUtvbFlyxZmzJiBt/fgqg7n539MRcX/4eX1\nD5ycru8b2tVkZDyFl9fr+PtrXzJfHfRxX/g9asvvwhiBDrfDXXfdhYeHB1u2bNHY/dDW1saHH37I\na6+9pqcd9k5KysPIZLU4Oz+Ck9OVU4yOYNNcGho6Kpt2BJuadgWburjMxMlpYq/BpoZGbW0to0YZ\nZsXEvqioqGD+/PmEhISwadMmjTNubnD9MFht6QulUolSqRy0ywagsHALJSXP4eHxOi4u3Zv31dU1\ndtMWQ0Yub6OtrR6pVIRU2oBMJkIqFaFQNKJQNKFQNKFUNqNSNaFSVSKX386sWd8MvLCW7Nixg/Hj\nxxMaGqqzNX+v2vK7MUagw6B47LHHyMvLY8+ePXh49Cyzbmg0NGSSlnYTycmLuftu/98qm+aiVBYg\nEDhjYRGNg0MCrq4dlU1HIh9//DF//OMfh/SanUWs3Nw0D+47e/Ys8+fP56mnnuK11167LoPJbqAZ\n+taWjIwMTE1NB3XTKy39losXl+Pi8mc8PKYDHU/1mzZ9x2OP3aWjnaqPXC6hra2O9vYrhoVMJvrN\nqBCjUDSjVDb9Zlg0AU2AHIHAFoHADoHAHiMjR4yNHTExccbEZBSmps6Ymo7C3NwVc3MXtmw5yPPP\nvzDkn01bfs/a8rsyRqDjy7dq1SrWr1/Pnj17mDBhglbr7Nixg0WLFunkqWUgEhNjkclSMDIKxNLy\n6sqm7nq/9vVKfX09jo6apz1+++23PPHEE2zYsIGFCzVv4X6D6xddaUtvyGQyCgsLCQkZ3ANHRcUh\n8vMX4eT0BF5et+tkbyqVCrm8hba2hq4TC6lUhFwuQi4X/3ZaceXEAjqNC+VvhoU9QmGHYWFk1GFY\nmJp2GhbOmJu7YG7uioWFG6am9sN6g1apVLzzzju88sorOt/H711bfnfGSCe7du3iySef5D//+Q93\n3323xvMvXryIr6/vkNTRaG8XIRAIhjXY9HogMzOTiIgIrUTk6hvNd999x8SJE/WwwxtcDwxWWwZC\nqVRy+vRprdLPAaqrT5KTMw87u/vw9b2n23sdQeXNvxkWDVedWDT+dlohRqnsPLFovurEgt9OK2wR\nCh1+O7FwwsTEBVNTpy7Dwsysw7CwtHTDxMR2RD75t7e3Y2amu9i7G9rSgf4f6w2UhQsX4ufnx/z5\n88nLy9P4SOzqpm5FRUX4+PjoNHitk/r6eurr6w22HbauSElJYeLEiXoTJ5Xq/9m777CmzvYP4N+E\nIXuKe4CCoKAgSp111LpX39paF47a9bbW8WurrdpWX2utqypq1Tqq4qitC6viBJWqiLhQEQFBBUWU\nvZIAyf37g5qCgmQnhPtzXV4XJ8k5zxPAL3fOec7zEBISElQa6S6RSPDhhx8iNjYWkZGRaNy4sRZ6\nyIyFutlSHYFAgNzcXJUHTtar1xUmJqdx/vybuHMnDI0bC/4pLPIAFAAwkV8KKV9YWFg0g5mZ8z9F\nhYv8UoilZUOYmWluunNNUzdb4uPjkZCQIL+tVpOFCGfLv2rtmZHnHj9+jGHDhqF169bYuHGjSoOF\nrl27BhMTE7Rr107j/YuJiYG9vX2NnLhNGRcuXICXl5dKl05eRd3ZLZ8PTmzYsCG2b9+u1XlXmHHR\nRLYo4sqVK2jatKnSd1xERoZCIomBm5tnucKiAczMlL/F3ZCpmy15eXmwtrbW+FlwzpaKan0xApTd\nRjVhwgQ8fvwYBw4cUOs2qpKSEpSUlNT6XyxDcOfOHdy7dw9DhgxRaX9t3rbJagdNZktVsrKy8OzZ\nM7XHk7B/LVq0CF9++aXWZpXmbKkEMSIikkql9O2335KrqyvFxMSofJzMzEzasmWLBnvGlFFcXEyl\npaVqH+fIkSPk4uJCO3bs0ECvWG2mqWxRhEwmo19++UUj/wdqG5lMJv+6pKREa+1wtlSOi5EX7Ny5\nk1xcXOjw4cMaOV5WVpbK+/7xxx8V/oMYu6dPn1JYWJhax1i/fj09e/ZM5f1lMhn9/PPP1LBhQ7pw\n4YJafWGsPE1nS1WePn1a7Ws4Wyo6ceIERUREaLUPnC2vZjJv3rx5+j47Y0jatm2L7t27Y9y4cRAK\nhejcubNag8+OHDkCW1tb2NurdidMbZh57zkrKysUFRUp/Z4zMzPll8U6duyo8iWykpIS/Pe//8Xh\nw4dx+vRpjU3rzBig+WypSvllDe7evYsTJ05UOpV4bc6W0tJSREdHyweMtmzZUu2Zbl+Fs6V6PGak\nCg8ePMDQoUPRuXNnrFmzRiPrpxQUFODJkydGf2eMLiUkJCAxMREDB6o3Z8Lz5eGtra2xa9cujS0P\nz9iLtJEtijp37hzc3d1rxISP2pSdnY2EhASdrDvG2aIYHjVThebNm+P8+fNIS0tD//79kZWVpfYx\nTU1NER8fr4He1W4nTpyAWCwGAHh4eKhdiNy9exedO3eGv78/Dh48yGHBtEob2aKoF+fZKS4u1lnb\n+vbjjz/K36+jo6NOChHOFsVxMfIKtra2OHjwIDp27IhOnTrh7t27ah3PwsICgwYNkm8fO3YM169f\nf+l1YrEYK1euVKutmmzx4sWvfN7Z2Vlj9/qfOnUKPXr0wKxZs7Bs2TKdTGLHmKazRVFWVlbYs2eP\nfHvz5s06LYZ0aceOHUhKSpJvz549GytWrNBZ+5wtStL3oJWaYtOmTVSvXj06efKkxo4pk8moqKhI\nvl1QUCB/vLCwUGPt1DQvvvcjR47QpUuXNN7OunXrqF69ehQeHq7xYzOmKG1kS1VelS1SqZTmz59P\nUqlU6/3QhoiICIqMjJRvV3ZHka5ylbNFeVyMKOHMmTNUv359WrdunVaOv379esrOztbKsWuSvLw8\nioqK0trxS0pKaOrUqeTp6UkJCQlaa4cxRWk7W1SRnZ1NP//8s3y7uLiYiouL9dijiv7++286ceKE\nfDs3N1fvdwhxtqiOB7AqKTExEUOHDkW/fv2wfPlyjS+UJxKJIBQKIZVKsXr1asyaNUujxzdUxcXF\n8oF8jx8/RlpaGvz9/TV+t0Fubi5GjRqF0tJS/PHHH3B0dNTo8RlTla6yRdVLnOnp6QgNDcXEiRMB\nAPfv38ft27fl06RrWk5ODtLT0+WTuV29ehUpKSkYPnw4gLI1elSZLCw3Nxd2dppfF4ezRT08ZkRJ\n7u7uuHjxIu7cuYMhQ4YgNzdXo8cPDQ1FWloarKysMHPmTPnj9+7dw9GjRzXalqEoKirC2rVr5duN\nGjVCenq6xq+jJyUloWvXrmjRogWOHj3KYcEMiq6yRVX169eXFyIA0LRpU3Tq1Em+fffuXezatUu+\nHRcXh927d8u379y5g99//73CdvnnY2NjK4xnyc/Ph0QikW/7+/vLCxEAKs9aev78ec4WA8RnRlRU\nWlqK6dOnIywsDIcPH0aLFi202h4RITMzE3Xr1gUAXL9+HVKptEat8EjlFvb68ccf8cUXX2h00alX\niYiIwMiRIzFnzhxMmTJFJ20ypgpdZwtTD2eLhujzGpExWLNmDdWvX5/OnTun03YlEgmlpaXJt0+d\nOmVQs/plZWXJB+QSlX2fnjx5ope+bN26lVxcXOj48eN6aZ8xVegrW5jiOFs0h4sRDTh+/Di5uLjQ\nb7/9ptZxrl69qtb+5QeXHT58uMIg0Nu3b1N6erpaxy+vtLS0Qnv79u2jO3fuyLcPHjyodvEhFovp\n9u3bKu8vlUpp1qxZ1LJlS4qNjVWrL4zpg6Fki7HhbDE8PGZEA/r164ezZ8/ihx9+wKxZsyCTyVQ6\nzv3799XqR/kVJgcPHoyAgAD5tqmpaYUJjvbv34+YmBj59r59+165vXfvXty8eVO+ffDgwQr38A8e\nPBheXl7y7eHDh6N+/fpqvR9zc3OVr+0WFBRgxIgRuHjxIiIjI9G6dWu1+sKYPhhKthgbzhbDw2NG\nNCgzMxNvv/02HB0dsWPHDtjY2Oi7S7VSSkoKhg0bhvbt22P9+vU6nW6bMW3gbDEMnC3aw2dGNMjZ\n2RknT56Es7MzunfvjpSUFH13qdaJiopC586dMWbMGGzevJnDghkFzhb942zRLi5GNMzc3BybNm3C\nuHHj0LlzZ0RFRVW7j1gsNtrbdjXhwIEDCr1uz549GDx4MNatW4evvvpKKyuiMqYvnC2ax9liOEzm\nzZs3T9+dMDYCgQBdu3aFh4cH3nvvPTRr1uyVS0YXFBTA1tYWDg4OOuxlzVFcXIx69epVGQBEhPnz\n52Pp0qUIDQ1Fz549ddxDxnSDs0WzOFsMB48Z0bIbN25g2LBhmDRpEr7//nuuqDVMJBJh0qRJuH//\nPg4ePIgGDRrou0uM6QRni3ZxtugWX6bRMl9fX1y6dAnHjx/HqFGjIBKJ9N0lo5GWloZevXpBKBQi\nPDycw4LVKpwt2sPZontcjOhAgwYNEB4eDhMTE/Ts2bPClMxbtmwV7BdsAAAgAElEQVRBdna2HntX\nM0RGRuL8+fPy7evXr6Nz584YPHgwdu7cCUtLSz32jjH94GxRH2eLYeDLNDpERFi4cCF+/fVXhISE\noH379sjNzYW9vb2+u2bwSktLIZFIYG1tjZCQEHzwwQdYu3YtRo4cqe+uMaZ3nC2q42wxDFyM6MGf\nf/6JTz/9FBs3bsRbb72l7+7UGESEpUuXIigoCAcOHKgwqRtjjLNFVZwt+sfFiJ5ER0fjrbfe0vjK\nnMaMiNCqVSscOnQITZo00Xd3GDNInC3K42zRPy5G9KikpARisVjf3ahRrK2tVV46nLHagrNFeZwt\n+sXFCGOMMcb0istAxhhjjOkVFyOMMcYY0ysuRhhjjDGmV1yMMMYYY0yvuBjRoNTUVAwfPhytWrWC\nu7s7pk+fjpKSEgBly0/36NEDXl5e8Pf3x4cffgiRSISdO3fC19cX7dq1Q7du3RATE6Pnd2E4VPl+\nhoSEwNfXF+3bt0eHDh0QFham53fBmPo4WzSLs8UAEdMImUxGAQEBtHXrViIikkqlNHnyZPrqq6/o\nyZMn1Lx5c4qMjJS/fu/evZSenk4XLlygnJwcIiIKDQ2lTp066aX/hkbV72dBQYH8sZiYGGrZsqXO\n+86YJnG2aBZni2Ey1XcxZCzCwsJgaWmJCRMmAACEQiFWrFgBNzc3CAQCTJw4EZ06dZK/fsSIEQCA\nevXqyR/r1KkTUlNTddtxA6Xq97O8goIC1K1bV2d9ZkwbOFs0i7PFMPFlGg25ffs2OnToUOExW1tb\nNGvWDImJiS89V5nNmzdj0KBB2upijaLO9/PgwYNo3bo1Bg4ciKCgIG13lTGt4mzRLM4Ww8TFiIYI\nBIJKH6d/5pSjauaWCw8Px5YtW7B48WKN960mUuf7+dZbb+HOnTv466+/EBgYqJX+MaYrnC2axdli\nmLgY0ZA2bdrgypUrFR7Ly8tDSkoK3N3dX3quvJiYGHz44Yc4dOgQHB0dtd3VGkGd7+dzr7/+OkpL\nS5GZmamtbjKmdZwtmsXZYqD0N1zF+HTs2JG2b99ORESlpaX0wQcf0Jdffknp6enUvHlzunTpkvy1\n+/bto/T0dHrw4AG1bNmSLl68qK9uGyxVvp+JiYkkk8mIiOjKlSvUokULvfSdMU3ibNEszhbDw8WI\nBqWkpNDQoUPJw8ODWrZsSVOnTqXi4mIiIrp48SK9/vrr5OnpSa1bt6ZPPvmEioqKaPLkyeTk5ER+\nfn7k5+dHAQEBen4XhkOV7+fixYvJ29ub/Pz8qHv37hQVFaXnd8GY+jhbNIuzxfDwQnmMMcYY0yse\nM8IYY4wxveJihDHGGGN6xcUIY4wxxvSKixHGGGOM6RUXI4wxxhjTKy5GGGOMMaZXXIwwxhhjTK+4\nGGGMMcaYXnExwhhjjDG94mKEMcYYY3rFxQhjjDHG9IqLEcYYY4zpFRcjjDHGGNMrLkYYY4wxpldc\njDDGGGNMr7gYYYwxxphecTHCGGOMMb3iYoQxxhhjesXFCGOMMcb0iouRGq6goADTp09HkyZNYGlp\nCU9PT2zYsEH+/Lp16+Dp6Yk6deqgcePGmDFjBsRicZXHO3HiBDw9PWFhYQF3d3dcunTple2Hh4ej\nW7dusLKygqOjI9555x3cv39f/vw777wDR0dHWFpawsvLC8HBwWq/Z8aY9n3yyScQCoW4du0aAGDe\nvHkQCoWYPXs2AODWrVsQCoX46KOP8ODBAwiFQgwbNgwAcPToUcyfPx8PHjyQH8/V1RW2trYKtX3/\n/n2MGDECDg4OsLKyQrdu3XDmzBn584sXL0aDBg3kuTZz5kwQkYbeOdMHLkZqMCLCkCFDEBQUBB8f\nH6xZswbvvvsuoqOjAQBbtmzBZ599BktLS6xevRoBAQFYtWoVPvnkkyqPOWvWLKSkpGD16tWYOHEi\nhMKqf0Xi4uLQv39/xMXFYdGiRfjggw9w4MAB9O/fHyUlJQAAHx8fLF++HEuWLEFaWho+/PBDlJaW\navYbwRjTuM6dOwMAIiMjAUD+wSQqKqrC4506dYKLiwt2796NmTNnAvi3GCn/wQQABAJBte1KJBL0\n7dsXBw8exMcff4wff/wRsbGxGDBgAOLj4wEA9erVw3fffYcNGzbA0dERy5YtQ0REhPpvmukPsRrr\n1KlTJBAIyMfHp9LnmzdvTkKhkBISEoiIqLS0lJo2bUpCoZCSk5Mr3WfkyJFkbm5ON27cqLb9CRMm\nkEAgoE2bNskfGz16NAkEAtq6dav8sczMTLp16xY1bdqUmjZtqsQ7ZIzpy507d0ggEND48eOJiMjJ\nyYl69epFdnZ2JJPJaPLkySQQCOjmzZuUnJxMAoGAhgwZQlu3biWBQCD/JxQKiagsj2xsbGjmzJnk\n5OREAQEB9OTJk5fa/e2330ggENC4cePkj23YsIEEAgFNnDhR/lh+fj49ePCABg8eTGZmZnTnzh0t\nf0eYNvGZkRrsypUrAIC+ffu+9Fx+fj4ePnwIZ2dnuLu7AwBMTEwQEBAAIkJsbOxL+xw7dgwhISEQ\nCAQYNGgQHj58iLNnz0IoFFb6qePmzZsAgC5dusgfe/717du35Y+1aNECbdu2xZMnTxAUFKTGO2aM\n6Yqnpyfs7Oxw6dIlJCYmIjs7G1OnTkV+fj5iY2Nx6dIl2NjYwNvbW76PQCBAz5490a9fPwDAd999\nh927d8ufLywsREZGBgYPHozo6Ghs3LjxpXYVzZVx48bB1dUVR48exbRp0+Dl5aXZbwDTKS5GajBF\nTnkqY/r06XB2dkZ0dDSKiorQr18/7N+/H6ampmjfvr3Kxz106BA2b94MBwcHjB8/Hjk5ORrsNWNM\nGwQCAV577TXEx8fjyJEjsLOzw/Dhw+Hk5ISTJ0/izp076Nix40s55OrqKv8A9MYbb2DkyJHy50xM\nTLBu3Tp8+umnAFBhTImyFixYgL1796JDhw5Yvnw5Tp8+rfKxmP5xMVKDdezYEQBw8uTJCoO3iAi2\ntrZo3rw5MjIycO/ePQCAVCpFVFQUhEJhhU8zzz169AhOTk7w8fHBzp07kZiYiNWrV+P999+HjY3N\nS69v164dAODixYvyx55/7ePjI3+sR48emDRpEgYOHIiCggJ5fxhjhu35uJG1a9ciICAAQqEQnTp1\nwi+//AKZTIZOnTpVut/zAoVeGFRqaWkJc3NzmJqaAijLpBcpmitt27bF22+/LS9srl+/rtJ7ZIbB\nVN8dYKrr3bs3evXqhTNnzmDQoEEYMWIEHj58iLS0NGzcuBHfffcdJk+ejHfeeQeffPIJjh07hkeP\nHmHChAlo3rz5S8fr06cPDh06hClTpshP0ebk5MDBwaHS9r/++mvs2rULM2fOREFBAVJTU7Fnzx54\neHhg9OjRuHXrFhYsWIA33ngD+fn5OHDgAOzt7eHp6antbw1jTAOeFyOJiYnyMxydOnVCaGio/OvK\nODo6AgD27t2LwsJCDBo0SOE2R48ejYULF2L37t1o1KgRGjRogP/9738wNzfHN998AwAYPHgw+vbt\nC2trayxfvhwCgQABAQEqv09mAPQ7ZIWpq6CggKZNm0aNGzcmc3Nzcnd3p/Xr18uf/+WXX8jT05PM\nzc2pUaNGNH36dBKJRJUeKz09nd59911ycHAgFxcXGjVqFPXq1YtMTEzo6NGjle4THh5OXbt2JUtL\nS3JwcKARI0bQ/fv3iYjowYMH1KFDB7K2tiY7Ozvq3r07RUREaP6bwBjTioyMDPkg1EOHDhER0bFj\nx+SPPX78mIhIPoB16NChRER09+5dat26NQmFQvLw8CAiIldXV7K1tSUiosuXL5NAIKBJkyZV2m5y\ncjKNGDGC7O3tycLCgrp160ZnzpyRPz906FBycnIiS0tLatOmDW3cuFFr3wOmGwIivjmbMcYYY/rD\nY0YYY4wxpldcjDDGGGNMr7gYYYwxxphecTHCGGOMMb3iYoQxxhhjesXFCGOMMcb0iosRxhhjjOkV\nFyOMMcYY0ysuRozUwoUL4ePjA19fX7Rv3x5RUVFVvnbr1q34/PPPAQDPnj1Dp06d0KFDB5w/f77K\nfVauXAmRSKTxfjPGDBtnC9MGXpvGCF28eBFHjhzBtWvXYGZmhqysLEgkkipfX37VzdOnT6Ndu3aV\nLu1d3qpVqxAYGAhLS0uN9ZsxZtg4W5i28JkRI/TkyRPUrVsXZmZmAAAnJyc0bNgQrq6uyMrKAgBE\nR0ejd+/eAP5dWfPGjRuYNWsWQkJC4O/vD7FYjP/+978ICAiAj48P5s2bBwAICgrC48eP0bt3b/Tp\n0wcAcOLECXTt2hUdOnTAyJEjUVhYqON3zRjTNs4Wpi1cjBihfv36ISUlBZ6envjss89w7tw5ABU/\npVTG19cX//vf/zBq1ChcvXoVFhYW+PHHH3H58mXcuHEDZ8+exa1btzB16lQ0atQIZ86cwenTp5GR\nkYGFCxfi9OnTuHLlCjp06ICff/5ZF2+VMaZDnC1MW/gyjRGytrbGlStXEBERgfDwcLz33ntYtGiR\nQvsSEcqvnbhnzx5s3LgRpaWlSEtLQ2xsLHx8fCrsExkZidjYWHTt2hUAUFxcLP+aMWY8OFuYtnAx\nYqSEQiF69uyJnj17om3btti6dStMTU0hk8kAAGKxuNpjJCcnY/ny5YiOjoa9vT0mTZpU5X59+/bF\nrl27NPoeGGOGh7OFaQNfpjFC8fHxSEhIkG9fu3YNrq6ucHV1RXR0NABg37591R4nLy8P1tbWsLOz\nQ3p6OkJDQ+XP2draIi8vDwDQqVMnnD9/Hvfu3QMAFBYWVmifMWYcOFuYtvCZESNUUFCAzz//HDk5\nOTA1NYWHhwd+/fVXxMbGYvLkybCzs0OvXr3k13kFAkGlXz+/dc/LywtNmzZF9+7d5W189NFHGDBg\nABo3bozTp09j69atGD16tHxk/cKFC+Hh4aHjd84Y0ybOFqYtAip/EY8xxhhjTMf4Mg1jjDHG9IqL\nEcYYY4zpFRcjjDHGGNMrLkYYY4wxpldcjDDGGGNMr/jWXlZBTEyM/J7/0aNHo1mzZnruEWPMGHC2\nsFfhMyMMaWlpWL58OXx9fTFkyBAkJSUhKSkJ/v7+6N27N7Zs2SKfhIgxxhTF2cIUxfOM1FKFhYU4\ncOAAgoODcfnyZfznP/9BYGAgevToAaGwrEaVSCQ4evQotm/fjvDwcAwcOBCBgYHo168fTE35pBpj\n7GWcLUwVXIzUIlKpFOHh4QgODsahQ4fQtWtXBAYGYtiwYbCysqrw2jNnzqBXr17y7czMTPzxxx8I\nDg5GUlISRo0ahcDAQPj7+1e7YidjzLhxtjB1cTFSC9y8eRPBwcHYtWsXGjRogMDAQIwaNQr169ev\ncp8XA6O8xMRE7NixA8HBwahTpw7Gjx+PsWPHomnTplp6B4wxQ8TZwjSFixEjlZaWhl27diE4OBhZ\nWVkYO3YsAgMD0aZNG421QUS4cOECgoOD8eeff8LX1xeBgYEYMWIE7OzsNNYOY8xwcLYwbeBixIgU\nFhbi4MGDCA4OxqVLl+TXanv27Cm/VqstEokEhw8fRnBwMM6cOYOBAwdi/Pjx6Nu3L18DZqyG42xh\n2sbFSA0nlUpx5swZbN++HYcOHUKXLl0wfvz4Sq/VKuNVp1Krk5mZiT179iA4OBjJyckYPXo0AgMD\n0b59e74GzFgNoY1s6d27BI0bn8GOHX1V2p+zxXhxMVJD3bp1C8HBwdi5cyfq16+PwMBAjB49+pXX\napWhTjFSXkJCAoKDg7Fjxw5YWloiMDCQrwEzZsC0mS0CAdC06Sk8fPim2sfibDEuXIzUIE+ePJFf\nq83IyJBfq/X29tZoO/v2laJRIwG6dDHR2DGJCOfPn0dwcDD27t0LPz8/+TVgW1tbjbXDGFOerrJF\nIAA8PEoQH2+msWNythgHLkYMXFFRkfxabWRkJN566y0EBgaiV69eWrtWKxAA3t4luHVLc4FRnlgs\nxpEjR7B9+3acPXsWgwYNQmBgIF8DZkyH9JUtLVqU4N49zhZWERcjBkgmk8mv1YaEhKBz584YP348\nhg8frtY4EEUJBICr6ykkJ6t/KrU6GRkZ8mvADx48kF8D9vPz42vAjGmYIWRLvXqnkJ7O2cIq4mLE\ngNy+fVt+rdbFxUV+rbZBgwY67UdZMXISycmqDTJTVXx8vHyOAWtra/k14CZNmui0H4wZG0PKFmfn\n08jI6KPTdjlbDB8XI3r25MkT7N69G8HBwXj69CnGjRunlWu1yii7TFOMW7fM9dK+TCaTXwPet28f\n2rdvj8DAQLz99tt8DZgxBRlqttSvX4onT/RzyYSzxYCRARMIBPTFF1/It5cuXUrz5s0jIqL169fT\n9u3biYjot99+o8ePHyt9/IMHD1JsbKxmOquEwsJC2rVrFw0cOJAcHBxowoQJdOrUKSotLdV5XyoD\nEHl7S/TdDSIiEolE9Oeff9KwYcPI3t6exowZQ6GhoVRSUqLvrlFKSgoNGzaMPDw8qGXLljRt2jQq\nLi6mS5cukZ+fH/n5+VHbtm3p999/13dX2Qs4W/QDIKpbV///d4k4WwyNQRcjderUoRYtWlBGRgYR\nES1btkweGOX16tWLoqOjKz2GVCqt8vgTJkygvXv3aqaz1ZBKpXT69GmaOHEiOTg40IABA2jnzp1U\nUFCgk/aVARC5up7Qdzde8vTpU1q9ejW99tpr1LBhQ/q///s/unbtGslkMp33RSaTUUBAAG3dupWI\nyn6+kydPpq+++oqKiorkv3dpaWnk7OxsMH8MWBnOFv0AiKytT+m7Gy/hbNE/gy5GbGxs6KeffqI5\nc+YQUcXA+P7772nZsmW0d+9esrGxIU9PT2rfvj2JRCJq3rw5zZo1i/z9/en333+njRs3UkBAAPn6\n+tKIESOoqKiIzp8/T05OTuTm5kZ+fn6UlJREiYmJNGDAAOrQoQO9/vrrFBcXp/Z7uH37Nn399dfU\ntGlT8vPzo+XLl6v0SUuXDLUYKS8uLo7mzp1LzZs3Jx8fH1q8eDGlpqbqrP1Tp05Rjx49KjyWl5dH\nzs7OJBKJ5I8lJSVRixYtdNYvphjOFv0AiCwtDa8YKY+zRT8MvhjJy8sjV1dXys3NrRAY8+bNo+XL\nlxNR2aeXK1euyPdzdXWlpUuXyrczMzPlX8+dO5dWr15NREQTJ06kffv2yZ974403KCEhgYiIIiMj\n6Y033lCp30+ePKEVK1aQv78/NWrUiGbOnEk3b95U6Vj6YEiXaaojlUrp7Nmz9MEHH5CjoyO9+eab\ntG3bNsrPz9dqu6tWraIZM2a89Hj79u0pJiaGLl26RG3atCFLS0s6ePCgVvvClMfZoh9lxUjVZ5QM\nCWeLbhn8jde2trYYP348goKCYGlpWeXr6IVxuO+9957865s3b2Lu3LnIzc1FQUEBBgwY8NJ+BQUF\nuHjxIt599135c8XFxQr3UyQSISQkBNu3b8fFixcxbNgwLF68GL1794aJieYmD1PXnTt3UFRUhA4d\nOgAAIiIiIJFI8OabZbfanTt3DkAJiF6Xb5eUlKBPnz7ybalUit69ewMom565Tp06sLGx0f2bASAU\nCtGjRw/06NEDq1evxl9//YXg4GBMnToVQ4YMwfjx49GnTx+N/wxedWugQCDAa6+9htu3byMuLg4D\nBgxAr169YG9vr9E+MPVwtmiWotkilfaWb3O2vKzWZot+a6FXs7GxISKirKwscnV1pfnz5yv86aX8\nJxZXV1eKiYkhIqKtW7fSxIkTiajip5fc3Fxq2LChUv2TSqUUFhZGkyZNIgcHB+rXrx/t2LFDr9dq\n09PT6fr16/LtixcvUmhoqHz72bNnFb43lQGImjev+jJN+Wvl169fp6ioKPn28ePH6fz586p0XaOe\nPn1KQUFBFBAQQA0bNqQvvviiwvdFXZWdSs3NzX3pVCpR2afiqsYdMP3gbFGeprJFKAyr8nnOltqb\nLdpdblFDHB0dMXLkSGzevFleNVLZJSYAZZ9w8vLyqty/oKAADRo0QElJCXbs2CE/Rvn97Ozs4Obm\nhr1798qPHxMTU+nx7ty5g9mzZ8PNzQ0zZsyAt7c3YmNjcfz4cYwdOxbW1tYae+/VefDgAf744w/5\ndnFxcYUquXPnzhU+rdWtWxdOTk5qtVl+dkZfX18EBATIt/v164cuXbrIt0NCQnD16lX5tlQqVatt\nRbm4uODzzz9HVFQUwsLCYGFhgeHDh6Ndu3ZYunQpHj9+rNbx+/Tpg6KiIgQHBwMoe19ffPEFJk2a\nhCdPnqC0tBRA2c8nISEBHh4ear8npnmcLVXTVrbIZFV/8udsqcXZos9KqDq2trbyr9PT08nKyorm\nz59PRBU/vezbt6/CILMXP72sW7eO3Nzc6LXXXqPPP/+cJk2aRERE58+fpzZt2pC/vz8lJSVRcnIy\nDRgwgHx9falNmza0YMGCCu2vXLmSOnToQI0aNaKvvvpK/olIl549e0YbNmyQb4tEIiouLtZoGwBR\nmzbaGTOyc+dOio+Pl2/rcrS6VCqlM2fO0OTJk8nR0ZH69u1L27dvV/kacEpKCg0dOlR++93UqVNJ\nIpFQcHAweXt7k5+fHwUEBFT49MgMA2fLy3SRLSYmMtLWXx3OlprNoIsRfSsqKqLff/+dBg0aRPb2\n9hQYGEgnTpzQ6a1UpaWltG3bNvl/rJKSEo0HxIvKihGxVtt47ueff6asrCydtFVeUVER7dmzh4YM\nGUL29vY0btw4On78uNHcJscMW23NFjMzqdaKkRdxttQsXIy8QCqVUnh4OL3//vvk6OhI/fr1o+Dg\nYK2PoC4vKytLfm1QJpNRcnKyztomej5m5LhO2yQiKi4upgULFuj83v709HRatWoVdezYkRo1akRf\nfvkl3bhxQ6d9YMaPs4XIwkJKQLhO2yTibKkJeDr4f8TFxSE4OBg7duyAg4MDAgMDMWbMGDRq1Ejn\nfdm1axcGDx6stxHSAgHQvPkJ3L/fTy/tP5eSkoKsrCz4+vrqrE1D+j1gxsGQfqf0nS22tlIUFESA\nqJde2n+Os8Xw1Opi5OnTp/j9998RHByMR48eYezYsQgMDES7du102o+TJ0/C0tIS3bt312m7VREI\ngNatJYiNraPXfojFYsTHx+v85wGUrWFx7tw5BAcH48CBAwgICEBgYCD+85//6HQQIauZOFsqZ29f\nirw8U+j7rw5niwHS74kZ/bh37x4N7t9fr9fzcnJy5F/rY8rhVwGIvLx0M2ZEGSEhIXq5je359f3B\ngwfL1/vIy8vTeT+Y4eNseTVHx2KdjRlRhqFky7jR42ptttS6MyNEhP79+sH3/HlMmz0bTebO1Xkf\nnj59iuPHjyMwMFDnbStCIACaNj2Bhw/1e5mmOk+fPkW9evV03uZ///tfeHh44KefftJp28ywPc8W\nv7//xrQFC9D4yy913gdDzxYXlxJkZJzX+2Wa6ugjWw5YHsAK2Qp0md4Fixcv1mnbhqBGzDOiSYcP\nH0ZKaipm79mDuvPn4+nKlTpp9/r168jMzAQA1KtXz2DD4rlXTAJoEIgI+/fv19ncAkDZnBIuLi5Y\ns2YNNm3ahMTERJ21zQzf82z5ets2OH/9NZ5t2aKTdmtStgiFhv/ZVx/ZcrrfaTiIHbD699XYvHlz\n7cwWfZ6W0TWxWEzu7u507NgxIiKKnTOHdggElLN5s9bbPn/+vEEsTa0IgKh1a8O7TPMqiYmJ8hVY\ntWXVqlUkFpd9X3766ScaPny4VttjNcdL2fLJJxRsYkL5f/2l9bZrUrY0bCg2yMs0r6LtbLm98DZN\nwRS6sbTsLpvami017NdCPUuWLKEhQ4ZUeCx79GiSmppS3u+/a7St7OxsOnr0qEaPqSs1sRh59uwZ\nXbx4UWfticViatmyJZ04YdirGzPdeClbpFLK7dGDSiwtqeDMGY22VZOzpUkTUY0rRrSZLY9OPKJw\nhFPk25Hyx2prttSwXwvVPXnyhJydnenu3bsVHpdJJJTn709FpqaUHxKisfaePXtGT58+1djxdAkg\natZM9/OMaIpMJqPIyMjqX6ig52dDXnTgwAHy9vauMZ9KmXZUlS0lz56RqFEjyrexoaJy69uoqyZn\nS/PmRXqZZ0RTNJkt+Q/y6TiOU7hj+EvP1cZsqTVjRubMmYOJEyeiVatWFR4XmJvD4vBhbLSwgPjd\nd1F48qTKbdy4cQOPHj0CULZOg4uLi1p9ZqrLzs5W+5ovyQjnDpzD6dOnK31++PDhaNCgATZs2KBW\nO6xmqypbTOvWhWz/fmwViZDbty8kCQkqt2Es2WJAiwyrTBPZIpVIsbv5blzFVfTM7PnS87UyW/Rd\nDelCdHQ01a9fv8Itby8qvHCBSuvUoRIrKyo4e1aldqKiooxiyt+yW3tF1b+whnj06JFKtzhe+fQK\nnW3z6t+FmzdvkouLi9bHqzDDpEi25KxZQwRQUZMmVJyaqlI7xpIt7u6FNe4yzauoki0ymYzCEU7h\nCCdJbtVrgNW2bDH6MyNEhGnTpuGHH3545ayDVl26oOCXX2BaVATTwYNRFBWl0PFTU1PlXwcEBMDE\nGEp/I/P48WNcu3ZNqX3urLqDvF/yUMfn1RO/+fj4YOTIkZg3b54aPWQ1kaLZYv/ZZ8gZMwaWqamQ\n9OqF0n/ufKmOMWaLiUnZ3TTGMqGEKtly1vssAMD3pi/M7cyrfF2tyxZ9V0Patnv3bmrfvr3CnypS\nPvqIlgEkcXAgUTVrCJSUlNBmHdyJo2sAUdOmNXfMyKso8ikm5XAKTawzkcKahFHcqrhqX5+RkUEu\nLi508+ZNTXSR1RDKZItMLKa01q1pGUD5vr4kLSh45euNNVtatSogIJwkEsOajE0TFMmW6P9G00RM\npHs77il0zNqULUZdjBQWFlLTpk3p3Llziu8klVJu794kFQpJ7OJC4rjq/xgZG2MuRpKSkui3336r\n8vmsmCwKdwin2wtuU1jdMMq8kVnla8sLCgqiPn36GNyMlwztf2EAACAASURBVEw7VMkW8b17JHFw\noGJbW8rt3p1kkqpP0Rursss04ZSbW/MvOb2oumy5t/0ehSOcrn5+Vanj1pZsMerLNEuXLkWXLl3w\n+uuvK76TUAjrAwcgbt4cUoEA1Ls3JElJ8qeTk5OxdetWzXfWwFhZ9dB3F7TCzc0NEydOrPQ50VMR\nrg+4DrtRdrBztwMkgGNbR4WO+8knnyAtLQ2HDh3SYG+ZoVIlW+q0aIHi4GCACCbJycj7z38AmUz+\nfG3IlrK32wvFxUZynaacV2VL5vVMPBj/ACbtTNA+qL1Sx6012aLvakhbHjx4QE5OTnT//n2V9hfH\nxlKwlRVFu7tTUbNm8oFnxl6dEpWdGfH0NJ4BrFURiUS0f/9+IiIqFZfSohaLaMvrWygrPItiZsVQ\nRNcIpY534sQJatmyZZW3AjPjoG62ZM+ZQ1sdHelKkyaUPWYM0T+ZUhuyxc2tbABramqxvruiVeWz\nRZwtpoVYSOuxXuWfcW3IFqM9MzJr1ixMmTIFzZs3V2n/Oq1bY/iuXfBJT0dmw4aI7NQJpU+fQmDo\n86RrSGHhOX13QessLCzg5eUFIsLlkZfR2aEzhs8bDgDIv50Pm842Sh2vb9++8Pb2xqpVq7TRXWYg\n1M0WhwULMNzfHy0aNYIkIgJho0cDQK3IlrKBq2cgFsuqe2mN9jxbZKUyXHS8iM7ojA/EH6j8M64N\n2WKUxUhERAT+/vtvzJw5U63j2A4fDtHMmXhy/z4auLlB0rMnpNnZGuqlYasFuQgAaN26NWJmxUB8\nUwyv770gEJa98eKEYji97qT08ZYvX44lS5bgyZMnmu4qMwAayRaBALZ796JOWhqS2rZFy7Aw5NSS\nOyZksrL/XyUleu6IDrRu3RrnnMo+1HVM7giTOurdDWXs2WJ0xYhMJsP06dOxePFiWFtbq308hzlz\n0KJbN2xPSkJJ48YQ9e4NaV6eBnqqf0SEknKp8PjxY8THxwMoGzNSfhso+94am9gNsVi7di1a/NAC\nQQeDAADSYinoPqF+z/pKH8/d3R3vv/8+Zs+eremuMj3TZLaYODgABw/CPyICm1q3huWaNchdvVpD\nPdW/qrKl7MxILzx8mGr02XJu8Dnszt8N92PuWBWs/hkNY88WoytGtm7dCgsLC4z+59SnqiIjI3Hy\n5ElAIIDDjh34PycnkJ0dpHZ2KOrbF7KiIg31WLuo3A39N27cwP79++Xb165dK3uP5bwYCuW3r169\nir/++ku+ffHiRZw4cULTXdaZtLA0pM9Mx4xFM2DbyBZfjf8KAJAVmwVhIyHqOL56jpGqzJ07F6Gh\noYiOjtZkd5meaTpbLP39IV6xAjNjY1EycyYsv/sOeTt2aKi32qdKtshkgImJDMXFxp0td5begeyo\nDJ8u+BRN+jfBt99+q5HjGnW26HXEiobl5uZSgwYN6PLly2of68U1ASQPH5LYxYVyv/yScjp1otzX\nXzfIW/Py8vLkX8fFxdGuXbuUPgZA1KTJMYVeW36OhbCwMAoLC5NvS6VSpdvWley4bAp3Cqebc29S\nVnhWhX8Xx1+kPQP2qHX8zZs3U9euXWvFoMTaQJvZkv3++5TXti0V/PwzFdvZ6WSlX1VoIlsaNRKR\nmdkpiogorPa1NTVbHp0sW/zuwsALLz1XWlpKcWpOF2Gs2WJUZ0Z++OEHDBw4EB07dlT5GCKRCABg\nampa4XHzpk1Runcvrq5di8udOgEFBcgbOhRUWqpWn9VV/tPF48ePK3y68PT0VPtTXHXKzwrZu3dv\n9O7dW7595MgRXLlyRavtq0KcKcaS7ksg7itG4z6NX3q+OKEYqfVSK9lTcRMnToREIsHvv/+u1nGY\nYdBmttivXw+BqSnOhYTgzKhRqDN2LArP6X8AuTayRSYDTE0JEkn1t/bWxGwpeFCA1X1XI9MyE12O\ndnnpeaFQiOvXr6vVhtFmi76rIU2Jj48nZ2dnSktLU/kYt27dokOHDr3yNdm//EKZdeuSeMcOyvP2\npuzhw4n0VKVLJBL68ccfNX5cgKhVqyKNH3fjxo308OFDjR9XGdJiKUV0jqBTfU5RZljmS2dFssKz\nKMwljDKuqr8exN9//01NmjShgmpm22SGTRfZInn4kETOzpQ2cyblfvMNSRwdqeiqcpNjaZK2sqV+\nfRE5OorpyJF8jR7XELKlpLCEwhFOoQglabF2/yYYY7YYTTEydOhQ+umnn3TSVtZHH1G+lxeVHDxI\n+a1aUfbo0fK5ArRt7dq1Wl8+HCDy8NB8MVKeVCqlVatW6fR0q0wmo0vvXaIz7c5QxsmMSguR1N9T\nKcwmjGTSsp9nVlaWcjP4vmDUqFH03XffaeotMD3QVbYUnDhBxXZ2JNqyhbKnTCmbATo+XuvtPqeL\nbKlXT0z16onowIG86l+sIn1ly/PF70RPFZujibOlIqMoRo4fP67WhDApKSlKvV5WUkK53bvT4lat\nSLJ/PxW4uVHW5MlaKUikUillZ2dX2NY2gKhxY8XGjKgjKytL/rUu3lfEVxE0y3EWPQl5UmkhkhWe\nRTFfx9C5zhUDIjo6WuU21Z0gi+mXrrMle8ECKmzWjFZ9/DFljB+v1kq/1dFHtri4iKlu3WO0Z4/2\nihEi3WfL4TaHaRZm0bOoZ0rtx9nyrxo/ZqSkpAQzZszA8uXLUaeO8nc/FBYW4uzZs0rtIzA1hdXB\ngxhbUIDC0FDUWb4cdU6cQPaMGUq3X51z587hwYMH8m2hsMb/yOQcHf+daj0xMRG7d+/WWlvJO5Mh\n2ijC+J/Gv3KlzILbBbDtYlvhsQ4dOqjcbrNmzTB16lS157xhuqePbHGYMwclPj4YduMGnCZMgKRT\nJ5T07q3wSr/K0Ee2PL+bRpExI+rQZbZc+/wa6sTWwag1o1A3oK5S+3K2lKPvakhdQUFB9Oabb+pl\nZLEoJoaK7e0p/6efSLJnDxU1bEjZ33yj1jFLSkroyJEjGuqhanRxmaY6SUlJGvuZpv+dTmF2YXT3\n57tVnhF5/u+M1xl6sO9Bpcc5f/48JScnK91+YWEhNWvWTK1Tskz39JUtpbm5VOjmRtkffkgUFkbZ\n/fpRvp9ftSv9VscQssXJSUIeHvm0aVOO3vqgyWxJCk6icIRT9GTVz3AQcbYQ1fAzIxkZGViwYAFW\nrFih9DS7qampFSblUYVF27YQb9qERwsX4kR0NIRLl8Ji0ybk/PCDyseUyWRo0qSJWv0yBklJSUhJ\nSVH7OHlJeVgxYAVsP7CFS3uXV75WViKDLFmGej3rVfp8x44dK8ytoCgrKyssWbIE06ZNg1QqVXp/\npnv6zBYTOzsIQ0JgvWcPbp86hag+fSC1skLBgAGg4mKVj2sI2fL8bho13obaNJUtmdcy8Wvgryht\nWYoOm1Q/wwFwtgA1fNKz77//HiNHjoSPj4/S+4aHh2vktKTtO++g/tSp8Nq1C6b29hAsWwbLlSuR\nu2KFwseIiYlBTEwMAMDc3Bzt2rVTu1/qKirS762Fffr0QbNmzQAA2dnZePTokdLHKM4txrUB19Dt\nzW5oObRlta/Pis2CsIEQFs4WlT5vbm4ONzc3pfsBACNHjoS1tTV+++03lfZnuqXvbLFo2xaiNWvg\nvmEDWtnbw27evLLpBN5+u8JKv9UxtGwhEkAiidBrMaKJbBE/E+Om/034wx9vxL2hdp84W2pwMXLz\n5k38+eefmD9/vkr7BwYGVriPXR0OCxbApX17FPzwA+o0bQrZTz/B8n//Q+6vvyq0v7W1Nby9vTXS\nF2Nkbm6u9L35slIZLg+7DJNGJug6tatC++TG5MKiQ+WFyIv27dun1CcZgUCAlStXYu7cucjNzVV4\nP6Z7hpItdoGBEI0cCeegIEAggM3ChTBJTETOhAnPV5yrlqFly79nRrQ7ZkRRqmSLtFiKyHqRAIDh\nOcMhNNXsn9Hami01shghIkyfPh3fffcdnJ2dldo3IyND8x0SCGC7Zw9M8/Lw29y5MGneHKULF8Jy\n5swqp3c+d+6c/BeuZcuWGiuMNMXKqoe+uyBnbW2NwYMHy7cV+RmeDDyJyORIeM32Uvg0u+iuCPbd\n7RV6raenp9LraXTo0AFDhgzBggULlNqP6Y6hZYt9UBBgbY3cNWuwLyoKwh9+gHlEBHKmT69yH0PO\nFiLA0bG7Xs+MlKdsthARQuqHIBrR8Ivzg7l91YPhVVVbs6VGFiMhISFIT0/HJ598otR+t2/flp+y\n1DShlRXMjh5Fj9hYZJ08Cas2bVAyfz4sP/sM+fv2VXgtEUEqldaKJcO14eDBg/LZLCsTuzgW+afz\nMfyn4TAxVzyIpQlSuPR49biS53x8fFQK+YULF2Lbtm0VFgljhsPQskVgagqLkBBYXrwIn6dPARsb\nmC5ZAos//kDO//730usNPVuIBDA3h8EUIy+qLlsuvXUJshwZBu8aDAdPB630obZmi4BUGTWjR2Kx\nGN7e3tiwYQPefPNNfXfnJYVhYTB/6y2ULFkCKy8vFERFwXzhQhTv3g3zN9+EubnmK2lNEwiAxo2P\nIzW1v767orSH+x/i3vv34LbCDfZuip3lAADRMxHuTrqLXnm9IBAqHuTx8fFwcnJC3bqK39K3bNky\nnD17tsL02kz/DDlbCs+cgfnw4ShdvhyW7u4Qp6RAMGMGxPPmwX7KFBQXF9eIbLG2LoWn5zH0798N\nixY5Vr+DAYn9KRZPv3kKp9lOaLdQ+2Nvalu21LgzIytXroSPj49SYaHLUcbWb7yBooULUfTttzgW\nHg6b116D5KuvkPPee9jwzTc664f6akaN+scff+DOnTsAgMwrmdg2bhsaft1QqUIEALKuZ8HUx1Sp\nQgQAGjRooPQnkalTpyIuLg7Hjh1Taj+mXYacLda9eqFw7lxg3jzkPnuGiPR0yH78EZZz5+Le2rXY\ntm2bTvqhrrIxI0BJiWGeuSmvfLY8Ov4I+7/ZD9NupjopRIDaly016sxIWloa2rZti8jISLi7u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mwHL8eAw+fBiycpPTmDk7w2TZMlju2IGc779HQECAVq9fPz8zYmraU2tttGzZEl27dgVQdo28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\nmBUajFAoFAqFQjEr/w/vtU/mYuBHTgAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10da59bd0>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# `prettyplotlib` code"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.rgrids?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\"\"\"\n",
      "Example of creating a radar chart (a.k.a. a spider or star chart) [1]_.\n",
      "\n",
      "Although this example allows a frame of either 'circle' or 'polygon', polygon\n",
      "frames don't have proper gridlines (the lines are circles instead of polygons).\n",
      "It's possible to get a polygon grid by setting GRIDLINE_INTERPOLATION_STEPS in\n",
      "matplotlib.axis to the desired number of vertices, but the orientation of the\n",
      "polygon is not aligned with the radial axes.\n",
      "\n",
      ".. [1] http://en.wikipedia.org/wiki/Radar_chart\n",
      "\"\"\"\n",
      "import prettyplotlib as ppl\n",
      "\n",
      "import numpy as np\n",
      "\n",
      "import matplotlib.pyplot as plt\n",
      "from matplotlib.path import Path\n",
      "from matplotlib.spines import Spine\n",
      "from matplotlib.projections.polar import PolarAxes\n",
      "from matplotlib.projections import register_projection\n",
      "\n",
      "\n",
      "def radar_factory(num_vars, frame='circle'):\n",
      "    \"\"\"Create a radar chart with `num_vars` axes.\n",
      "\n",
      "    This function creates a RadarAxes projection and registers it.\n",
      "\n",
      "    Parameters\n",
      "    ----------\n",
      "    num_vars : int\n",
      "        Number of variables for radar chart.\n",
      "    frame : {'circle' | 'polygon'}\n",
      "        Shape of frame surrounding axes.\n",
      "\n",
      "    \"\"\"\n",
      "    # calculate evenly-spaced axis angles\n",
      "    theta = 2*np.pi * np.linspace(0, 1-1./num_vars, num_vars)\n",
      "    # rotate theta such that the first axis is at the top\n",
      "    theta += np.pi/2\n",
      "\n",
      "    def draw_poly_patch(self):\n",
      "        verts = unit_poly_verts(theta)\n",
      "        return plt.Polygon(verts, closed=True, edgecolor='k')\n",
      "\n",
      "    def draw_circle_patch(self):\n",
      "        # unit circle centered on (0.5, 0.5)\n",
      "        return plt.Circle((0.5, 0.5), 0.5)\n",
      "\n",
      "    patch_dict = {'polygon': draw_poly_patch, 'circle': draw_circle_patch}\n",
      "    if frame not in patch_dict:\n",
      "        raise ValueError('unknown value for `frame`: %s' % frame)\n",
      "\n",
      "    class RadarAxes(PolarAxes):\n",
      "\n",
      "        name = 'radar'\n",
      "        # use 1 line segment to connect specified points\n",
      "        RESOLUTION = 1\n",
      "        # define draw_frame method\n",
      "        draw_patch = patch_dict[frame]\n",
      "\n",
      "        def fill(self, *args, **kwargs):\n",
      "            \"\"\"Override fill so that line is closed by default\"\"\"\n",
      "            closed = kwargs.pop('closed', True)\n",
      "            return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)\n",
      "\n",
      "        def plot(self, *args, **kwargs):\n",
      "            \"\"\"Override plot so that line is closed by default\"\"\"\n",
      "            lines = super(RadarAxes, self).plot(*args, **kwargs)\n",
      "            for line in lines:\n",
      "                self._close_line(line)\n",
      "\n",
      "        def _close_line(self, line):\n",
      "            x, y = line.get_data()\n",
      "            # FIXME: markers at x[0], y[0] get doubled-up\n",
      "            if x[0] != x[-1]:\n",
      "                x = np.concatenate((x, [x[0]]))\n",
      "                y = np.concatenate((y, [y[0]]))\n",
      "                line.set_data(x, y)\n",
      "\n",
      "        def set_varlabels(self, labels):\n",
      "            self.set_thetagrids(theta * 180/np.pi, labels)\n",
      "\n",
      "        def _gen_axes_patch(self):\n",
      "            return self.draw_patch()\n",
      "\n",
      "        def _gen_axes_spines(self):\n",
      "            if frame == 'circle':\n",
      "                return PolarAxes._gen_axes_spines(self)\n",
      "            # The following is a hack to get the spines (i.e. the axes frame)\n",
      "            # to draw correctly for a polygon frame.\n",
      "\n",
      "            # spine_type must be 'left', 'right', 'top', 'bottom', or `circle`.\n",
      "            spine_type = 'circle'\n",
      "            verts = unit_poly_verts(theta)\n",
      "            # close off polygon by repeating first vertex\n",
      "            verts.append(verts[0])\n",
      "            path = Path(verts)\n",
      "\n",
      "            spine = Spine(self, spine_type, path)\n",
      "            spine.set_transform(self.transAxes)\n",
      "            return {'polar': spine}\n",
      "\n",
      "    register_projection(RadarAxes)\n",
      "    return theta\n",
      "\n",
      "\n",
      "def unit_poly_verts(theta):\n",
      "    \"\"\"Return vertices of polygon for subplot axes.\n",
      "\n",
      "    This polygon is circumscribed by a unit circle centered at (0.5, 0.5)\n",
      "    \"\"\"\n",
      "    x0, y0, r = [0.5] * 3\n",
      "    verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]\n",
      "    return verts\n",
      "\n",
      "\n",
      "def example_data():\n",
      "    #The following data is from the Denver Aerosol Sources and Health study.\n",
      "    #See  doi:10.1016/j.atmosenv.2008.12.017\n",
      "    #\n",
      "    #The data are pollution source profile estimates for five modeled pollution\n",
      "    #sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical species.\n",
      "    #The radar charts are experimented with here to see if we can nicely\n",
      "    #visualize how the modeled source profiles change across four scenarios:\n",
      "    #  1) No gas-phase species present, just seven particulate counts on\n",
      "    #     Sulfate\n",
      "    #     Nitrate\n",
      "    #     Elemental Carbon (EC)\n",
      "    #     Organic Carbon fraction 1 (OC)\n",
      "    #     Organic Carbon fraction 2 (OC2)\n",
      "    #     Organic Carbon fraction 3 (OC3)\n",
      "    #     Pyrolized Organic Carbon (OP)\n",
      "    #  2)Inclusion of gas-phase specie carbon monoxide (CO)\n",
      "    #  3)Inclusion of gas-phase specie ozone (O3).\n",
      "    #  4)Inclusion of both gas-phase speciesis present...\n",
      "    data = {\n",
      "        'column names':\n",
      "            ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO',\n",
      "             'O3'],\n",
      "        'Basecase':\n",
      "            [[0.88, 0.01, 0.03, 0.03, 0.00, 0.06, 0.01, 0.00, 0.00],\n",
      "             [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00],\n",
      "             [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00],\n",
      "             [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00],\n",
      "             [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]],\n",
      "        'With CO':\n",
      "            [[0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00],\n",
      "             [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00],\n",
      "             [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00],\n",
      "             [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00],\n",
      "             [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]],\n",
      "        'With O3':\n",
      "            [[0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03],\n",
      "             [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00],\n",
      "             [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00],\n",
      "             [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95],\n",
      "             [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00]],\n",
      "        'CO & O3':\n",
      "            [[0.87, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01],\n",
      "             [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00],\n",
      "             [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00],\n",
      "             [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88],\n",
      "             [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16]]}\n",
      "    return data\n",
      "\n",
      "\n",
      "if __name__ == '__main__':\n",
      "    N = 9\n",
      "    theta = radar_factory(N, frame='polygon')\n",
      "\n",
      "    data = example_data()\n",
      "    spoke_labels = data.pop('column names')\n",
      "\n",
      "    fig = plt.figure(figsize=(9, 9))\n",
      "    fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)\n",
      "\n",
      "#     colors = ['b', 'r', 'g', 'm', 'y']\n",
      "    # Plot the four cases from the example data on separate axes\n",
      "    for n, title in enumerate(data.keys()):\n",
      "        ax = fig.add_subplot(2, 2, n+1, projection='radar')\n",
      "#         plt.rgrids([0.2, 0.4, 0.6, 0.8])\n",
      "        ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),\n",
      "                     horizontalalignment='center', verticalalignment='center')\n",
      "        for d in data[title]:\n",
      "            ppl.plot(theta, d)\n",
      "            ax.fill(theta, d, alpha=0.25)\n",
      "        ax.grid(False)\n",
      "        ax.set_thetagrids([])\n",
      "        ax.set_varlabels(spoke_labels)\n",
      "\n",
      "    # add legend relative to top-left plot\n",
      "    plt.subplot(2, 2, 1)\n",
      "    labels = ('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 'Factor 5')\n",
      "    legend = plt.legend(labels, loc=(0.9, .95), labelspacing=0.1)\n",
      "    plt.setp(legend.get_texts(), fontsize='small')\n",
      "\n",
      "    plt.figtext(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios',\n",
      "                ha='center', color='black', weight='bold', size='large')\n",
      "    plt.show()\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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DA/PmzcO0adNw8OBBLF26FHfu3MGlS5cgl8vRo0cPuLi4KH8FvUp+fj66dOkCNzc3tGvX\nDkZGRvjll18AAN27dwcATJw4ERs3bsQPP/yAvLw8JCQkIDU1Fa1atYK/v79yWSWTY4cOHXD69GlM\nnz4dzZs3V7naBEB5ZeHhw4cYP348mjdvjgULFpSKb9q0aVi2bBlGjBiBwMBA5XKmT59e7nZV5MpL\nZdnY2GDQoEGIiIhA9+7d0alTJ4SHh0MQhFfGU57evXujadOmiImJQadOndCmTRs8ePAAJ06cwMGD\nB+Hg4ABvb2/4+fnBxsYGp0+fBgBYWlqWWlZWVhb2798PAAgICFD+ys7OzsbRo0fx22+/IS0tDTNn\nzkRkZCRWrVqF27dvw9bWFjExMbh69epL43zVeXDq1CmMHj0aHTt2hJWVFU6dOqWM8+HDh/Dy8qrQ\nNryKh4cHvL29cf78efj6+qJly5bYsWMHJBIJpk6dCqDo/Dt48CBWrFiBhIQEhIWFAaj8eVGRz8fk\nyZOxadMm7N27FwEBAXBxccHp06dx7tw5jBw5EkuXLsWePXsQGBgIR0dH3LlzBydPnsTt27fh4ODw\nyrjq16+PP/74A1u3bsWtW7ewd+/eSu8zoCjPLF26FMePH0dwcDAKCgpw5coV1K9fH4MGDcKDBw8q\nfJ4xLSLO3SH2KtnZ2TRhwgRydnYmQ0NDatCgAQ0YMIDi4uLKnW/06NEkkUhe+jRN165dycjIiNq3\nb09r1qwhQRDI0tJS+Z4bN25Q//79qUGDBmRoaEjt27dXtkuIioqiZs2alWoLsXv3bnJ3d1c+TTNl\nypRST9O86qmgwsJCmjt3LrVv354sLS3JwMCAmjVrRgsXLlS5V3z8+HHq3Lmz8imKESNGUGJionL6\ni21EYmNjqU2bNmRubk69e/emcePGkUQiUbYZISKaP38+WVpakiAI1Lp1ayIi8vf3V7YNICpq//D5\n559T8+bNycjIiNzc3Gj58uXKp2m2bNlCgiCoPAlhYWGh0l7nRZ9++mm5T2qUFUex7Oxsmjt3LjVt\n2pSMjY2pbdu2Ku8pqy3Mi6+VdWzu379PI0aMIHt7ezI0NCQXFxeaNGkSJScnU3p6OgUFBVHDhg1J\nT0+P7OzsaMSIESpPYxULCwtTtj8pbnNEVNSGwcXFhSQSCa1Zs4aIiA4cOKB8msbc3Jz69u1LRGW3\neylW3nkQHx9P3bt3J1tbW9LT06NGjRrR1KlTqaCgoFLbUJFj9PjxYxo7dqzyaRpvb2+KjIxUTk9P\nT6devXqRqakpeXh40KJFi155DMpS0c/HuXPnlE/TGBsbU8eOHenZs2dERPTHH39QUFAQ2dnZkYmJ\nCbVs2ZLmzJlDubm5RFT6szN79myVz0pcXBx5eHiQoaEh+fn50eLFi0kQBGrfvn25x6usczE2NrbU\n0zR//fWXcp9V5hgx7SAQ1cBPN8YYY4yxCuI2I4wxxhgTFRcjjDHGGBMVFyOMMcYYExUXI4wxxhgT\nFRcjjDHGGBMVFyOMMcYYExUXI4wxxhgTFRcjjDHGGBMVFyOMMcYYExUXI4wxxhgTFRcjjDHGGBMV\nFyOMMcYYExUXI4wxxhgTFRcjjDHGGBMVFyOMMcYYExUXI4wxxhgTFRcjjDHGGBMVFyOMMcYYExUX\nI4wxxhgTFRcjjDHGGBMVFyOMMcYYExUXI4wxxhgTFRcjjDHGGBMVFyOMMcYYE5Wu2AEwVldZWVkh\nIyND7DA0iqWlJdLT08UOgzFWzQQiIrGDYKwuEgQB/PGrHN5njGknvk3DGGOMMVFxMcIYY4wxUXEx\nwhhjjDFRcTHCGGOMMVFxMcIYY4wxUXExwhgr5f79+7CxsUFAQAACAgJw/PjxCs139epVXLx4sUrr\n/O9//4tGjRph/vz5VZqfMaa5uJ8RxliZ/P39sXv37krNExsbi9zcXHh6er7yvUQEQRCUf8+ZMwc9\ne/ZEZGRkpWNljGk2LkYYU2Mbb5xCliy/yvObSQ0wwa3za8ehUCgQGBgImUwGPT09/PzzzzA1NcXm\nzZuxYcMGGBgY4MMPP8T69euRnp6O/fv349ChQ5g3bx4uXLgAPT09fP/992jSpAlatmwJHx8fmJub\nY+XKlcp12NnZ4caNG68dK2NM83Axwpgaq45CoqpOnDiBgIAAAMCePXuwb98+GBoa4ptvvsGuXbsQ\nEhKCjRs3Ijo6Grq6uiAiJCYmIjc3F1OnTkVMTAySkpIQHR2NU6dOYdGiRQgLC0NiYiJWrlwJc3Pz\nUusseaWEMVZ3cDHCGCuTn5+f8jZNTk4Oxo8fj8TERKSnp2PQoEG4d+8e3N3doatblEaKC4niHlLv\n3LmjvF3j4eGBDz74AADg4uJSZiHCGKu7uAErY+yVDh8+DCcnJ0RFRWH06NEgIjg7O+Py5csoLCwE\nUFSESKVSyOVyAEVFR3Fj1osXL6J58+YAAInk5WmHu3pnrG7iKyOMsVIEQVC5ZeLj44OlS5ciNjYW\ndnZ2aNKkCerVq4fx48fjzTffhLGxMT744AN07NgRo0aNwoULF7B161Y0aNAAvr6+kEql2Lx5s3LZ\nZQkNDcWPP/6ItLQ0JCUlYdu2bbWyrYwx8fFAeYyJhAd9qzzeZ4xpJ75NwxhjjDFRcTHCGGOMMVFx\nMcIYY4wxUXExwhgrRYzu4IOCguDr6wtfX19cuXKlSstgjGkmfpqGMVam2u4OfvXq1XB0dMStW7cw\nb9487N+/v9IxM8Y0ExcjjKkxReR6UG5WlecXjM0g6TP59eOohe7gHR0dAQBSqbTcvkgYY9qHH+1l\nTCTq/Jjq/fv34eXlhTfeeANAUXfwBgYGyu7gTUxMEBISgpCQEJw8eVLZHfyPP/6o0h388uXLsWPH\nDpw6dQqbN29GWFgYzM3N8eDBg5f2wjpo0CDMnj0bnTuX7gpfnfcZY6zq+MoIY6xMYnQHv3DhQnTs\n2LHMQoQxpr34Wihj7JVqozv4LVu2IDExEfPmzauFLWKMqRMuRjTY5MmTIZFIEBsbCwD49NNPIZFI\nlL9Ar1+/DolEgokTJyIhIQESiQTBwcEAgAMHDuCzzz5DQkKCcnmOjo4wNTWt0LofP36MMWPGwM7O\nDkZGRmjTpg1++eUXAIBcLseiRYvg6OgIfX19NG3aFIsXL4ZCoajOzWc1qKzu4A8ePIi+ffvizz//\nhCAIKt3Bd+3aFUePHkXHjh2xe/duvP3223B3d1d2B79w4UJ8/PHHymW/SC6XY9KkSbh58yYCAgIw\nduzYWttW9q/79+9DIpFAIpFAR0cHNjY2GDJkCLKyqt5uibEKIaaxNm/eTIIg0LfffktERD179iRB\nEKhbt25ERLRx40YSBIE2bdpEubm5tHPnToqOjiYiomnTppEgCBQVFaVcXpMmTcjU1PSV683LyyNX\nV1cSBIGGDx9OYWFhNGfOHProo4+IiOjjjz8mQRDI39+fNmzYQL6+viQIAi1cuLCa94Bm449f5fE+\nq1n37t0jQRDI3d2ddu7cSQMGDCBBEGjp0qVih8a0HH+yNdiNGzdIEAQaNWoUERFZWVmRv78/mZmZ\nkUKhoHHjxpEgCHTt2jVlkunbty9t2bKFBEFQ/pNIJERUVIyYmJjQggULyMrKijw9PSk5ObnUejdt\n2kSCIFCvXr1UXlcoFPTs2TMyMDAgExMTysrKIiKijIwMMjQ0JENDQ8rPz6/hvaI5+Iu18nif1azi\nPNGzZ09KTU2lpUuXkiAI9MUXX9BXX31FDRs2JD09PbK3t6fPPvuMiIjkcjlNmjSJLC0tydDQkFq2\nbEnHjh0jIqL9+/dTmzZtyNjYmNq2bUtHjhxRrmvZsmXk7OxMhoaG1Lp1a8rLy6MjR46Qs7MzGRgY\nkLW1NQ0bNoyys7OJiGj9+vVkb29P+vr65ODgQMuXLyciori4OHrrrbfIzMyMmjRpQitXrqzlvcaq\nA9+m0WAtWrSAmZkZzp8/j9u3byMjIwMzZ85EdnY24uLicP78eZiYmCifiACKLpH7+fmhR48eAIBP\nPvkEO3bsUE7Pzc1FWloa+vTpg5iYGGzcuLHUei9dugQA6Nmzp8rrgiAgPj4ez58/h5ubm/KWj4WF\nBdzc3PD8+XPcuXOn2vcDY6x6/fbbb7C1tcWHH36IRo0aYfLkyXBwcMDHH3+Mb775Bq1bt8ann36K\nM2fO4OrVq9iwYQN69OiB9evXIyQkBHK5HLdu3cLAgQNhZGSEjz/+GHp6eujfvz+Sk5Px448/Yv78\n+bC1tcXatWvRrVs3yOVymJqaYtq0aQgNDcWwYcOwa9cuhIaGAgAWLFgAKysrbNq0CVOnTlW2TwoJ\nCcGNGzewYMECeHl5Ye7cufj1119F3oOssvhpGg0mCAK8vLzw+++/IzIyEmZmZggJCYGVlRWOHDmC\nGzduoEuXLqXu0Ts6OsLFxQWHDx9G165d0aVLF+U0HR0drFu3DpcvX8bWrVtV2pSUXG9VED+SyZhG\n8PHxweeff47jx49jyZIl+Pjjj+Hi4oLPPvsMT58+Vb7v+vXr6NevH4yMjBAbGwsbGxt06tQJ/v7+\n+O677yCTyXD+/HmcP38eQFHuOHv2rLJDu7CwMLi5uSmXl5eXh7Vr1+Lu3bsq6wCA5s2b4+7duzh6\n9Cjc3d0xcuRI/PXXX7h9+zYAqLRJ+v3339G3b9+a3UmsWvGVEQ3n4+MDAFi7di08PT0hkUjg7e2N\nb7/9FgqFAt7e3mXO9+JjmMUMDQ2hp6enfFyz+MmIkjw8PAAU/XoqiYjQvHlzGBgYIC4uDtnZ2QCA\np0+f4saNGzA0NISLi8trbC1jrDZYW1uja9euysbw58+fx9y5c2FmZoa9e/cqX8/Pz4etrS3+/PNP\nTJ06FU+ePMHIkSPx2WefKXPMe++9h99//x1HjhzB4cOHVXLSi/nn/fffx7179/D9999j165dynUA\nwLFjx7B8+XKYmpri/fffR3BwsHIdPXv2VFnHhAkTanYHsWrHxYiGKy5Gbt++rfyQe3t7K38tvKwY\nsbS0BABERETgwIEDlVrn8OHD4erqioMHD2LkyJEICwvDf/7zH3zyySfQ19fH/PnzkZeXh5CQEGzY\nsAEhISHIz8/HggULoKenV9VNZbVIjLFpZsyYAX9/f/j4+HBX8CJLTEzEzp078Z///AcA0KRJE0gk\nEuTn5yMpKUnl+MTHx+Orr76CiYkJvLy8AACPHj1C9+7dlb313r17F5cvX8b7778PmUymfKpv3Lhx\nCAsLw5w5c5CTk6Ps1C41NRXh4eEqMc2aNQt5eXlo3749zM3N8ejRI7Ro0QLNmjVDdHQ0Ll++jL/+\n+gtr1qzB5cuXa2lPsWojaosV9trS0tKUjVD37dtHRESHDh1SvpaUlERE/zZMCwoKIiKimzdvkpub\nG0kkEmrWrBkRETk6Oiqfprl48SIJgkBjxowpc72PHz+m0aNHk42NDRkYGNAbb7xBv/zyCxEVNWhb\ntGgROTo6klQqpaZNm9LixYtJoVDU6L7QNOr88bt37x4NGjSo0vNt3ryZ1qxZU6H3vng+FBQUEBFR\ndnY2ubu7lzmPOu8zbVCcJyQSCQmCQJaWlhQUFERJSUm0YsUKsrCwICcnJ5o/fz5JJBJatWoVPXjw\ngHx8fMjU1JSMjIyoc+fOdOvWLSIiioyMpPbt25ORkRE1bNiQhg8frmzYXtyAtTh/5OXl0bFjx8jB\nwYGsrKxoyZIlJAgC9e/fn4iIBgwYQNbW1qSvr09ubm7KfHfjxg0KDAwkc3NzsrKyou7du9OVK1fE\n2YGsyrg7eMZEUpGuzSNP3EHuM1mV12FsKEUfP+dKz3f//n3Mnz9f2QNrRcem+eijj5Ceng4nJ6dK\nj01TLCUlBSNGjMDRo0dLTePu4BnTTlyMMCYSdf5iFWtsmmHDhuHYsWPYtGmT8lJ+Seq8zxhjVcdP\n0zDGyiTG2DQ7d+7E06dPERAQUGYxwhjTTtyAlTH2SrUxNs3z588BFD3RxUMHMFa38JURxlgpZY1N\ns3TpUsTGxsLOzg5NmjRRGZvG2NgYH3zwATp27IhRo0bhwoUL2Lp1q3JsGqlUis2bNyuXXZZhw4bh\n6dOneP78ufIqCmOsbuA2I4yJhNs/VB7vM8a0E9+mYYwxxpiouBhhjDHGmKi4GNFSS5YsQatWrdC2\nbVu0b987s0yzAAAgAElEQVQeFy5ceOl7t2zZghkzZgAAUlNT4e3tDXd3d5w+ffql83zzzTd49uxZ\ntcfNGFNvnFtYTeAGrFro7NmziIyMRGxsLKRSKdLT05VPKpSlZIPCo0ePok2bNmWO1lvSqlWr8M47\n78DQ0LDa4maMqTfOLaym8JURLZScnAxra2tIpVIAgJWVFRo0aABHR0ekp6cDAGJiYhAQEADg334h\nrl69ivfeew979+5Fhw4dkJ+fjylTpsDT0xOtWrXCp59+CgAIDQ1FUlISAgIC0K1bNwBFj3526tQJ\n7u7uGDJkCHJzc2t5q1l1EmNsGqCoPxMbGxtERkZWeRms5nBuYTWFixEt1KNHDzx8+BAtWrTAtGnT\ncPLkSQAvf6SyWNu2bbFo0SIMGzYMly9fhoGBAZYuXYqLFy/i6tWrOHHiBK5fv46ZM2eiYcOGiIqK\nwtGjR5GWloYlS5bg6NGjuHTpEtzd3bFixYra2FRWg/z9/XH8+HEcP35c+eXyKrGxseVeti+prKdi\nQkND4enp+cpzlYmDcwurKXybRgsZGxvj0qVLiI6OxvHjxzF06FB88cUXFZqXiFS+JHbt2oWNGzei\nsLAQjx49QlxcHFq1aqUyz7lz5xAXF4dOnToBAAoKCpT/Z6/n6f6/IM8tqPL8OsZ6sAhyfe04Kjo2\nzfr165Geno79+/dXemyarKwsXL9+Hd7e3vz4rpri3MJqChcjWkoikcDPzw9+fn5o3bo1tmzZAl1d\nXWXPlvn5+a9cxr1797B8+XLExMTA3NwcY8aMeel83bt3x/bt26t1GxiqpZCoqhMnTiiviOzZswf7\n9u1Tjk2za9cuhISEYOPGjYiOjlaOTZOYmKgyNk1SUhKio6Nx6tQpLFq0CGFhYUhMTMTKlStLdQkf\nGhqKGTNm4PDhw2JsLqsgzi2sJvBtGi1069YtxMfHK/+OjY2Fo6MjHB0dERMTAwD4+eefX7mcrKws\nGBsbw8zMDCkpKTh48KBymqmpKbKysgAA3t7eOH36NO7cuQMAyM3NVVk/00x+fn7K2zRSqRTjx4+H\nv78/vv/+eyQlJVV6bJric6KssWkyMzNx9epVdOzYka+KqDHOLaym8JURLZSTk4MZM2bg6dOn0NXV\nRbNmzbBhwwbExcVh3LhxMDMzg7+/v/LLo2TX3yX/X/zonqurKxo3bozOnTsr1zFx4kT07NkTjRo1\nwtGjR7FlyxYMHz5c2bJ+yZIlaNasWS1vOaspxWPTbNu2DStWrEB2drbK2DTFV0ZeHJvmf//7H4BX\nj01z8+ZN/P333+jVqxdu376NX3/9Fa1bt4aDg0PtbSR7Jc4trKZwd/CMiUSduzZPSEjA/PnzER4e\nDgBISkpCcHAw6tevrxyb5pNPPsHmzZuxfv165dg0zs7OGDVqFJo0aYKtW7di7ty5uHjxonJsmiZN\nmsDLy6vcRq6fffYZPD090bt371LT1HmfMcaqjosRxkTCX6yVx/uMMe3EbUYYY4wxJiouRhhjjDEm\nKi5GGGOMMSYqLkYYY6WI0R28v78/unTpgoCAAGzdurVKy2CMaSZ+tJeVkpOTAx0dHR6oqo7z9/fH\n7t27KzVPbGwscnNzlf2LlIeIVLoRFwQBBw8ehLGxcaVjZZqBcwt7GS5GGADg+fPnOHDgAM6dOwdj\nY2PI5XIUFhaiR48e8PX1LbNvCFbzTietRH7h0yrPb6BrgTcbznntOGqjO3iJRILevXvDwsICq1ev\n5j5GtATnFlYR/GhvHUZEOHfuHCIjIyEIAnr37g0fHx/lr1WZTIbDhw8jOjoaJiYmGDRoEFxdxeue\nXNuo82Oq9+/fh5eXF9544w0ARd3BGxgYKLuDNzExQUhICEJCQnDy5Ellp2c//vijSnfwy5cvx44d\nO3Dq1Cls3rwZYWFhMDc3x4MHD0r1wpqeng4rKyucPHkSy5cvx969e0vFpc77jP2LcwurLL4yUgfd\nuXMHu3fvRkZGBjp27IhPPvkEenp6pd4nlUrRp08f9OnTB5mZmfj555+xefNmODg4YMiQIbCxsREh\nelZb/Pz8lLdpcnJyMH78eCQmJiI9PR2DBg2qdHfwH3zwAYCyu4MHioajB4AuXbpg3rx5NbtxrEZw\nbmFVxcVIHZGRkYHw8HDcvXsXTk5OmDhxojL5V4S5uTnGjh0LoKh3zi1btiA1NRUeHh4IDg6GgYFB\nTYXO1EBNdwcPFI1XYmZmhri4uEqdm0xcnFtYdeDbNFqsoKAABw4cwNmzZ2FhYYHBgwfDxcWl2pZP\nRLh06RL27dsHuVyOwMBAdO7cme8BV5A633IQozt4T09PZcPGb7/9ttRw8oB677O6hHMLq25cjGgZ\nIsL58+cRGRkJAOjVqxc6duyo8tRCTZDJZPjtt99w6tQpmJqaYtCgQWjRokWNrlPT8Rdr5fE+Ew/n\nFlaTuBjREnfv3kV4eDgyMjLg4+OD3r17Q19fX5RYMjMzERERgfj4eOU9YGtra1FiUWf8xVp5vM9q\nH+cWVhu4GNFgGRkZ2L17N+7cuYOmTZti8ODBqFevnthhqbh//z52796N1NRUeHp6IigoiO8B/4O/\nWCuP91nt4NzCahsXIxqmoKAABw8exJkzZ2rkXm1NISLExMRg//79kMvl6NmzJ9588806fQ+Yv1gr\nj/dZzeHcwsTExYgGKHmvlojQq1cvdOrUqcbv1dYUmUyGQ4cO4fTp0zAzM8OgQYOUT1rUJfzFWnm8\nz6oX5xamLrgYUWP37t1DeHg40tPT4eXlhb59+4p2r7amPH36VHkPuEmTJnXqHjB/sVYe77PqwbmF\nqRsuRtRMRkYGIiIicPv2bTg6OmLIkCFqd6+2pty/fx/h4eF48uQJPD090bdvX62+B2xlZYWMjAyx\nw9AolpaWSE9PFzsMjcS5pe7kFk3ExYgaKCgoUF5aNDc3x+DBg9GsWTOxwxINEeHixYv49ddfoVAo\nlPeANfXSMWNi4dyiinOL+lLrYkQikWDu3LlYtmwZAGDZsmXIzc3FwoUL8d1338HIyAjvvPMOtmzZ\ngsDAQDRo0KBSy9+7dy+aN28ONze3mgi/XMUfiv3794OI1OpD8d+ze9DWvAGGt+wodiil7gGrUzL9\n+++/MW3aNNy4cQMKhQJ9+/bF119/jdjYWEyaNAkAIJfL8eGHH2Lo0KEiR8tK4twijvmnduMNYxuM\nbu8vdiicW9SMWhcjBgYGaNSoES5cuIB69eph+fLlyMnJwcKFC1XeFxAQgGXLlsHd3b3UMhQKxUtb\nVY8ePRpBQUEYOHBgjcRflpKXC728vNCnTx+1u1w4PXonPMwbYnSbLmKHoqLkPWCxLzMTEby9vTFt\n2jS8++67UCgUym6wP/vsM+jr60MikSA5ORmtWrVCSkoKdHR0RImVlca5RRzTTu6Am9QC0zv2EjsU\nFZxbxKfWY9NIpVJMnDgRK1euxOeff64y7dNPP4WpqSkcHR0RExODkSNHwsjICGfOnIGrqyuGDRuG\nI0eOYMGCBcjOzsaGDRtQUFAAFxcX/PTTT4iNjcX+/ftx8uRJfP7559izZw8UCgWmT5+O1NRUGBkZ\nYePGjdXS09+LDanGjh2r1g2pFCBI1OBX1IssLCwwfvx4AEUN8MLCwpSJt7Yb4B07dgyGhoZ49913\nART90l65ciWaNm2KRYsWKb+knj17BnNzc61IFtqEc4t41C+zcG5RB2pdjADA1KlT0aZNGyxYsEDl\ndUEQIAgCBg4ciDVr1mD58uXo0KGDcpq1tTUuXboEoGho8uIT7eOPP0ZYWBimT5+O4OBgBAUFYcCA\nAQCAbt264bvvvoOLiwvOnz+PqVOn4ujRo1WKu+QlQHNzcwwcOFAZg7pTgCCoZcr4V9OmTbFgwQIQ\nES5cuIAlS5ZAoVDU2qOJf/75Z6lfy6ampnBwcEB8fDyePXuGMWPG4N69e9ixY0eNxsKqhnNL7SOQ\nWtwuKg/nFnGofTFiamqKUaNGITQ0VDmIVllevNtU8j7atWvX8NFHHyEzMxM5OTno2bNnqflycnJw\n9uxZDB48WDmtoKCgUrG+2DgqMDAQS5cu1bjOdwhQyysjZREEAd7e3vD29lY21nv//feVjfVqqtOm\n8hKSIAjw8vLCn3/+ib/++gs9e/aEv78/zM3NayQWVjWcW2ofQT2vjJSFc0vtUvtiBABmz56NDh06\nYMyYMS99z4sH0NjYWPn/0aNHY9++fWjdujV++OEHREVFlZpPoVDAwsICsbGxlY4vISEB4eHhSEtL\ng6enJz744AO1u1dbWRKNSRn/0tPTQ3BwMIKDg5WPMW7cuLFGurNu2bIlIiIiVF7LysrCgwcPVJKU\nq6srnJ2dcfv27TLbHTBxcW6pfep+1bUsnFtqnkYUI5aWlhgyZAjCwsIwbtw4AEW/FIp/eZiamiIr\nK+ul8+fk5KB+/fqQyWTYunUrGjduXGo+MzMzNG3aFBERERg0aBCICNeuXUObNm3KXGZmZiZ2796t\nvFc7evRo2NjYVOdmi0pTroy8jKWlJSZMmACgaKCvTZs2IT09Hd7e3ujTp89r3wPu1q0b/vvf/+Kn\nn37CO++8A7lcjnnz5mHMmDFITk6Gvb09dHV1kZCQgPj4eLVppc9UcW6pXWr7tEQlcG6pGWpdjJT8\nRTJv3jysWbNGZVrx9NGjR2Py5MnKRmYvWrx4Mby9vWFjYwNvb2/k5OQAAIYNG4YJEyZg9erViIiI\nwLZt2zBlyhR8/vnnkMlkGD58uErCKDmUtZmZmUbdq60sTbwy8jJOTk547733lF1ff/755yAi9O7d\n+7WGQP/ll18wdepULF68GAqFAn369MGSJUsQHh6OL7/8ElKpFFKpFBs2bICZmVk1bxV7HZxbxKFJ\nt4ArgnNL9VHrR3vVwYuDMAUGBqJz584ad6+2MiZFb0ePes4Y2NJb7FBqTPGgYGfPnoW5uTmGDBkC\nZ2dnscNidUhdzS3uetaY6N1D7FBqDOeWquFi5CVK3qv18PCoU8NTT4rejp71XNC/pZfYodSKksOl\nOzk5YfDgwbCyshI7LKal6npu8dCzwQTv7mKHUis4t1ScWt+mqW2ZmZmIiIjArVu34ODgoFX3aitL\nmy6lvoqlpSUmTpwIoOge8MaNG5Geng4fHx/07t1b6wYQY7WPc8u/JHUntXBuqYQ6f2VEJpPh8OHD\niI6OhqmpKQYOHAhXV1exwxLVpOjt6GvTHEGuHmKHIhoiwrlz53DgwAEQEfr06QMfHx+17yOBqQ/O\nLaVNit4OL31bjPN6S+xQRMO5pWx1thi5dOkS9u3bh8LCQvTo0QO+vr5afa+2MiZFb0ewTQv0cdX8\nx8WqQ0FBAQ4cOIBz587BwsICQ4YMgZOTk9hhMTXFueXlJkVvh4++HcZ4dRM7FLXAueVfdbIY+fXX\nX5GQkICxY8eW29lRXTUpejtCbFzR27WD2KGonfT0dHzxxReYNGlSjXV6xDQX55byTYrejo4Gdhjt\nycXIi+p6bqlz5XpBQQGOHj2KadOmcbIoR11qM1IZVlZWWLx4MdatWyd2KEzNcG6pGE3s9Kw21PXc\nUueKkXXr1mHKlClih6H2uBh5OQMDA/j6+uLIkSNih8LUCOcW9rrqcm6pU8VISkoKMjMz0bx5c7FD\nUXva1OlZTQgJCcGvv/6KwsJCsUNhaoBzS8XxD53y1dXcUqeKkdDQUMycObPMaYWyyg1cpe04YZRP\nEASMHz8emzZtEjsUpgZelluSf9uBlDOHRIhIfXFmKV9dzS11phi5fPkynJycYGFhUeb0p9u+RHpc\nTC1Hpb7qzInxGlq3bo3ExEQ8efJE7FCYiMrLLRY+PWF49XekXjopQmTqqa4/wloRdTG31InvHCLC\nDz/8gNGjR7/0PdKuI6B37CdkxF+vvcDUGDcyq5jZs2cjNDRU7DCYSF6VWwzMLaEIHAfj07v4x84/\nOLdUTF3LLXWiGAkPD8fAgQOho6Pz0veYO7ggzysE+gfXITMhvhajU0/846Vi6tWrh/r16+P6dS5i\n66KK5BYLJzdke/SF0ZEwPL0TV4vRqSe+MlIxdS23aH0xkpeXh4sXL6JLly6vfK+tV1dkObaH7r5Q\nZCcl1EJ0TBsU39+tg1321GmVyS12nXoh07419CLXIuvvu7UQnfriUqTi6lJu0fpiZM2aNZg+fXqF\n32/TZzTyTawh7FmB3NRHNRgZ0xZSqRS9evXC/v37xQ6F1aLK5hbr4AnIN7KC5H/fIOdxUg1Gpt64\ncXzF1aXcotXFyMOHD6FQKODo6FjheXR0dGE8sKhVvHz313j2tO40IGJVFxgYiKioKDx//lzsUFgt\nqFJukUphMGAmBCIoIpbV2dzCpUjl1JXcotXFyOrVqzFjxoxKz2dgZonC3pOh/zwHBbu+wvPszBqI\njmmbKVOm1NneE+uaquYWIysbFAROgMHzbDzf9TWe52TVQHTqjRuwVl5dyC1aW4ycOnUK7dq1g7Gx\ncZXmt3Byw1Pv/tB/loXcXctQkJdbzREybdOsWTNkZ2cjOTlZ7FBYDXrd3GLZvA0y2veF/rOnyAlf\nDln+s2qOUL1xA9bKqwu5RSuLEYVCgfDwcAwfPvy1lmPXqRcyG7cBnucie9cyFGr5ZTL2+mbNmlWn\nHsera6ort9j6BSO7gRuEZ9nIDF8BuUxWTREybaXtuUUri5Eff/wR77zzTrVU4NbBE0AGJiiQyZCx\nazknDVYuMzMzNGvWDDEx3KeENqqu3CIIAqz6TQb0jFD4LBdPIkIhl8urKUr1xkNNVI225xatK0ay\nsrJw8+ZNeHp6VsvydKRSGPafAUP5c8gUhPTdq7Q6adSFR8hq2qhRo/Djjz/yvtQy1Z1bdPX1od9v\nGgwUBVDkZSNt74Y6cc7wXZqq0+bconXFSHnjz1SVkZUNqNs7MMzPQqFcjrQ930KhUFTrOtSFNp7k\ntU1HRwdDhgzBzp07xQ6FVaOayC3GNg2g8BsOvcJnQGYqUg78WK3LV0fcgLXqtDm3aFUxEh8fD2Nj\nYzRo0KDal23ZvA0KXDtBp/A5kJ+Hx/vDtPKLWxu3SQydO3dGbGwscnO54bM2qMncYtXSHQXOHoAg\ngU7KPSQfjaj2dagTbsD6erQ1t2hVMbJu3TpMnTq1xpZv6xcMMjKHwsgMkowUpBzcWmPrYppv+vTp\nWLNmjdhhsGpQ07nFrtsgCHoGkFnYQXo3FilnDtbYusTGnZ69Pm3MLVpTjBw5cgRdunSBvr5+ja1D\nEATU6zcZ+umJEBzcoJN8R+t+xfCVkerj4OAAAHjw4IHIkbDXUVu5xXLAVBimPUShUztIr51A6mUe\n6ZeVTRtzi1YUI4WFhYiMjERISEiNr0tXXx96IVMhvXkW0jZdIL13BSmnImt8vbWFi5HqNWPGDKxe\nvVrsMFgV1WZukRoYQRo8Bfq3LgBtA6B7fr9WjvTLT9NUD23LLVpRjGzcuBHjx4+vtXuRJrYNofAb\nBsWlwzDoFARp3Ck8vnC0VtZd07gYqV5GRkZwd3dHdHS02KGwKqj13FK/MQo7DQD9cQIS7z6QnNip\ndSP9cpuR6qFtuUXji5EnT57g0aNHaNWqVa2u16qlB2TOHZATcwyGvgOge/kwUq+crtUYagIXI9Vv\n6NChiIiI0OpHwrWRWLnFum1HyBq3RH7cBQievYHDm5H1971ajaEmcTFSfbQpt2h8MbJq1SrMmjVL\nlHXbdhsMQVcXWbeuwsC3P3TP7UV63CVRYqkuci19ZFlMgiAo+wdgmkPU3BI4AhKSIz/5AahdVyh+\n/VZrRhHnUqT6aFNu0ehi5Pr166hfvz7q1asnyvqLGp1Ng17KHeRnpEHaKRiSEzuRcfu6KPFUB23t\nP0Vs7u7uiI+PR2YmD7qoCcTOLRKJBOYDZkAv8S8ABHlLXxTs+UYrRvrlp2mql7bkFo0tRogImzZt\nwoQJE0SNQ2pgBGnQVEiuRUGQSCDx6gPhyBZkPrgtalxVVUhcjNSUmTNnavXYEtpCXXKLnrEJdPpM\ngnDlGAyt7VDo5I5nu1fgeU62qHEx9aMNuUVji5F9+/ahT58+kEqlYocCkwaNIevYH/lnfoWRVT0I\nHQJBkd8h55HmPXYlV2j+vUd1Vb9+fZiZmeHWrVtih8LKoU65xcy+KQo8g/Ds9H5YurSErFEL5IQv\nR+HzfLFDqzK+MlL9tCG3aGQx8vz5c5w4cQLdu3cXOxQlm3ZvQta4JZ6cOQizho2haOuPwr1rkJum\nWUM+c5uRmjV58mSsX79e7DDYS6hjbrH18IOsvjPSzv0G29ZeKLRqhKe7eKRfpkrTc4tGFiPffvst\npkyZInYYpdj0GA6JQo7H187DsrEz5G5vouDnlRp1n1fBt2lqlL6+Pvz9/fHbb7+JHQorg9rmlt6j\noFvwDKlxl2Dr7otCA1MNHumXr4zUBE3PLRpXjDx69Ag5OTlo1qyZ2KGUoqOjA7P+06H3MA5P/74H\nK6cWKHR2x7Pdy/E8WzMaFxXylZEaFxQUhIMHD0LGv2zVirrnFpP+0yG9dxVZSQ9h6/MWSKGoMyP9\nsorR5NyiccVIaGioaI/bVYS+iSl0ehc1OsvPzoJ1izYodHgDueHLIHuWJ3Z4r8S3aWqeIAiYMGEC\nNm7cKHYorAR1zy0GZhaQ9BwPxeXDKMjLhfWbvSFkpyPlwE9ih8bUhCbnFo0qRi5evIjmzZvDzMxM\n7FDKZdbYCQWefZB7Zh8UcjlsWrpDZtsUWTu/RuHz52KHVy4536apFW+88QZSUlKQlpYmdigMmpNb\nzB2bQ9a+O3JO7wMAWHUJ+WeMrJ9FjqziuNOzmqWpuUVjihEiwk8//YR3331X7FAqxNbDH3I7J6Se\nK7p/Z9uuE2QWDZARvgLyQvW9hMZXRmrPrFmzNP5xPG2gcbnFpwfkVo2QeuEodHR1YeE/ANK7l5Fy\n5pDYoTE1oYm5RWOKkR07dmDIkCGQSDQmZFj3fhe6+TlIjbsMALDz6AK5gQme7Fbfhmd8ZaT2WFlZ\noVGjRrh27ZrYodRpGplbgsZCmpOOtBtXoKunD5MuAyC9FoW0y+o/TglfGal5mphbNOLTl5ubi9jY\nWHTu3FnsUCpFR0cHJgNmQO/eFWQ+eggAsPV+CwoAab+sU8veThUKbgxXm8aNG4dNmzZVqhHi2LFj\nYWdnh9atW7/0PTNnzkSzZs3Qtm1bxMbGVkeoWkljc4uuFEYDZkB69xKyU5KgZ2QMA9/+0LmwX+OH\npGDVQ9Nyi0YUI6tXr8aMGTPEDqNKDMwsIQSOA10+gue5uRAEATadegHPcvD4181ih1cKXxmpXbq6\nuggODsb//ve/Cs8zZswYHDr08kvyBw4cwO3btxEfH48NGzao5aOq6kKTc4uhRT3QW6MhjzmEgmd5\nMDQ1/2dIih14eveG2OG9FF8XqR2allvUvhhJSEiARCKBg4OD2KFUmXnTFiho0xU5p4satEokElj7\nBkGSnoTkg1vFDk8FFyO1r1u3bjh16hTy8yvWq6avry8sLS1fOn3fvn3K9g/e3t54+vQpUlJSqiVW\nbaINucXS5Q0UtPJD1qn9UCgUMLa0hsSzN/Db98hOvC92eExkmpRb1L4YWbNmDaZPny52GK/NrlNP\nyC3rI+3iMQCAREcHVn79oJsUr1Yt4bkBqzimTp2KdevWVcuyEhMT0bhxY+Xf9vb2+Pvvv6tl2dpE\na3JL5z5QmNVD6sUoAICpXUNQu66Q71+rniP9cpuRWqUpuUWti5GTJ0/Cw8MDRkZGYodSLayDxkM3\n+wnSbv4BoOi+r3lxS/jTB0SOroiCCOBmI7XO2dkZeXl5SEpKqpblvXifmBsNqtK23FIveAL0nj7C\nk/g/AQAW9k2haNlZa0b6ZVWnKblFbYsRuVyOiIgIDBkyROxQqo2OVAqj/tMhvX0R2Y+LxqzR1dOH\nid9ASK9HI/XicZEjLOoOnr+2xDFz5kysXr36tZfTqFEjPHz4UPn333//jUaNGr32crWFNuYWXT19\nGPSfAd2b55CT9hgAYNm0hXKk34LcHJEj/BcXxrVPE3KL2hYjW7Zswbvvvqt1J66hpTWo2yjILx5A\nwT89suoZGsGwywDoXjqEtKtnRI1PzsWIaExNTeHq6ooLFy681nKCg4Px448/AgDOnTsHCwsL2NnZ\nVUeIWkFbc4tRPVsoAkZAdj4Ssn9G9bV2bQNZoxbI3rVMo0f6Za9HE3KLWhYjmZmZuHPnDtzd3cUO\npUZYNmuNgpa+yDodqXy818DEFPq+/aFz9n9I/0u8RzHlRFyMiOidd97B1q1by33se/jw4ejUqRNu\n3ryJxo0b4/vvv8d3332H7777DgDQu3dvODk5wcXFBZMmTcK3335bW+GrPW3PLVau7VHQ3BtPT/+q\nvJxeNNJvQ7UZ6VfLakCNoe65RSA1HGVp0aJFmDRpktb/mksJDwXp6sHO01/5Wk56KuRn9gI9xsLC\nuWWtx3Qi/hrCH13D0Iat0cXl5c+as4o7dOgQZs+eDblcjvHjx+O9995TmZ6Wloa3334bycnJKCws\nRL9+/eDm5oaRI0eKFLH2qgu5hYiQuusbKPSNYefRRfl6ytkjkChkqDd4FnR0dESJbVL0doxswLml\numhTblG7KyM3b96Eubm5VieLYvX6TYJe+t94cvvfPgFMrGwg8eoDHP4emQ9u13pMclJAULvyVHPJ\n5XJMnz4dhw4dQlxcHHbs2IEbN1T7gFizZg3at2+PK1euICoqCuvWrcOVK1eQk6M+9/m1QV3JLYIg\nwLLfZOil3Uf63ZvK12193gLJ5Ujbu5FH+tUC2pZb1K4YWb9+PSZPnix2GLVCV08f+v2mQ/ev08hJ\nT1W+bmrbAGjfHXTgO+Q8eljOEqqfgggC36ipNhcuXICLiwscHR0hlUoxbNgw7N27V+U9DRo0QFZW\nFgAgKysL9erVw6xZs7BmzRoxQtZadSm3SA0MoRcyHTpx0cjNKBowTRCEf0b6TRNlpF8ugKqXtuUW\ntZ8I7TUAACAASURBVCpGDh06hK5du0JfX1/sUGqNsXV9KPyGQ3YuEoUF/47oa96oCai1Hwr3rkZu\nWnKtxcMNWKtXWc/lJyYmqrxnwoQJ+PPPP9GwYUO0bdsWq1atgr29PXR0dHD//v1ajlg71cXcYmLb\nEHLfoSg4G4nCggIA//Rv1KUfdJLvIOXYHpEjZK9D23KL2hQjMpkMhw4dQt++fcUOpdZZtXRHgYsH\nMk5Hqvx6sHBwgdy1Ewp+rr2+AhTcgLVaVeSJjaVLl6Jdu3ZISkrClStXMG3aNGRnZ2P69OlYu3Zt\nLUSp3epybqnXyhMFTm2Rfubffox0dHVh7tcfuncu1epIv3xlpHppW25Rm2Jkw4YNmDhxotY9bldR\ndl0HAlJ9pMaeVnndytkVhU4d8Gz3cjzPyarxOLg7+Or14nP5Dx8+hL29vcp7zpw5g8GDBwMo6qCo\nadOmuHnzJgwNDeHl5YUTJ07Uaszapq7nFttuRSMSP77yb7cBUn0DjRrpl5WmbblFLYqR1NRUPH78\nGC1b1v7TI+pCEARY9p8CvZS7yLgfrzLN2rUNCu3dkLtrGWT/9E1SUxQKbsBanTw8PBAfH4/79++j\noKAAu3btQnBwsMp7XF1d8fvvvwMAUlJScPPmTTg5OQEABg0ahD179kAul9d67NqAcwsgkUhg3n8a\n9B7F42mJRvEqI/3euFzjcfCVkeqlbblFLYqRVatWYdasWWKHITqpgRGkwVMguX4CeZnpKtNsWnlC\nZuuIzF3LVNqWVLdCbjNSrXR1dbFmzRoEBgaiZcuWGDp0KNzc3FSe3f/ggw8QExODtm3b4q233sL/\n/d//wcrKCkBRkTp69Ghs3qx+IzxrAs4tRfSMjKHbdzKEP04gLzND+bpypN+o7Wo90i8rTdtyi+j9\njPzxxx84e/YsJk2aJGYYaiXt6llIzu+HWffh0NGVqkxLuRgFndwMWA3/T6lp1SHijzM4k56Afvat\nuC8ANfLhhx9i/vz5sLCwEDsUjcG5pbTU2FOQxByE+VvDVPJHdkoSFBcPQid4GkwbOdbIugsLCzHt\nbDj3M6Jm1CW3iHplhIgQFhaGcePGiRmG2rFu2xEFDm/gyemDpabZefpDrm+MJ7tDa+TyWtHTNHX7\n2sihQ4fg6uqKZs2a4auvvirzPVFRUWjfvj1atWoFf3//Go9p1qxZCA0NrfH1aAvOLWWzad8ZsoYt\n8OSFhqv/jvT7rXqO9KslOLe8nKjFyC+//ILg4GDo6uqKGYZasu0xHBIo8PjqudLTfLqDiJD2y/pq\nvw+rIKrTbUYq0pHQ06dPMW3aNOzfvx/Xr19HREREjcdla2sLS0tL3Lx589VvZpxbymHTcyQkchke\nX1Mdp8TCvinkbm/W2Ei/db3NCOeW8olWjOTn5+P06dPo1q2bWCGotaJGZ9Ohl/gXnv59V2WasvOi\nZ1lI2f99ta63rvczUpGOhLZv346BAwcqW65bW1vXSmyTJk1S3gtmL8e5pXw6OjowGzAdeg//RGZi\ngso0K6cWKGzaQe1G+tUGnFvKJ1oxsnbtWkydOlWs1WsEPWMT6PSZBOHKcTzLzlSZJpFIUM83GDpP\nEpH82/ZqW2ddL0Yq0pFQfHw80tPTERAQAA8PD/z0U+30Zqmnp4du3brhwIEDr35zHca55dX0Tcwg\n6TUBiP0d+dmqXQZYu7WFrFHzf0b6rbnG8nUN55byiVKMJCUlIT8/H87OzmKsXqOY2TdFgWdfPDu9\nH/LCQpVpEh0dWPr3h+7ffyG5mnpTrOudnlWkLwqZTIbLly/jwIED+O2337B48WLEx8e/cr7q0Lt3\nbxw5cgQF//SoyVRxbqk4cwcXFHj0Qu6Z/VC80P7MtrU3ZFYNkbFrOeSF1TPSb12/TcO5pXyiFCOh\noaGYOXOmGKvWSLYefpDVd8aTc4dLTdPRlcLMbwCkdy7h8ZnSDV4rq66PTVORjoQaN26MHj16wNDQ\nEPXq1UOXLl1w9erVWolPEARMnDgRGzZsqJX1aRrOLZVj69kVhbaOSC0jt9i5d4HcwBRPIlarTV8U\nmoxzS/lqvRg5f/48WrZsCVNT09petUaz6T0KOgW5SI27VGqaVN8AJn4DoXvtBB7HRL3Weur6bZqK\ndCQUEhKCU6dOQS6XIy8vT3lO1xY3Nzc8efIEqampr35zHcK5pWps+rwL3fxspMXFlppWPNJvajWM\n9FvXr4xwbilfrRYjCoUC27Ztw9tvv12bq9UKOjo6MOk/A3r3riIrqfRIvnqGRjD0HQBpzAGk/T97\nbx4eZ3Xl+X/e2vd9U2nfZVuyLa/YBmPMvoVAmCGhu0M6QDLdTDL8Ot2d7kySziTpDsmQSc8khPk1\nSegkdKchBMK+YzDYBu+WLWuxrH0rbbWqSrW+84e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Zg/3n1xa5UoV262cIv/MUY/H4vCWk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\nr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Wrk7wgxJroyYsYSEhIAAP3796/xnFKpRHp6Otzc3BAQEAAAEIvF6Nq1KxhjSEpKqvGe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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10dea8cd0>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax.spines"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "{'polar': <matplotlib.spines.Spine at 0x10e2ed290>}"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}